germany essay conclusion

DISPLACED COMMUNITIES

Allied advancements across Europe led to the liberation of ghettos, concentration, and death camps across the continent, but it took the total surrender of Germany on May 8, 1945, to end the state sponsored persecution of Europe’s Jews, Roma and Sinti, LBGT, Asocial, Jehovah’s Witnesses, and others deemed “enemies of the Nazi” state. Much of Europe lay in ruins by the end of the Second World War and an estimated 55,000,000 people had been displaced across the continent between 1939 and 1947. Whole communities were destroyed and two-thirds of Europe’s Jewish population had been murdered. While the end of World War II was embraced and celebrated globally, there was one group of people unable to rejoice upon liberation: Europe’s surviving Jews. For these individuals, the end of the war brought with it the certain knowledge most of their loved ones had been murdered, they had no home where they could return, and their futures remained out of their control.

An estimated 11,000,000 people remained displaced in Europe in the wake of the Second World War. Of the total number of European United Nations Displaced Persons or UNDPs (DPs for short) more than 8,000,000 were in Germany in the immediate postwar period where 6,000,000 foreign civilian workers, 2,000,000 prisoners of war, and somewhere around 700,000 survivors of concentration camps were liberated at the close of the War. While most Jews from Western and Central Europe were able to resettle in their prewar home countries, this was not an option for the majority of East European Jews. The ones who attempted to return to their prewar homes in search of family, friends, often found their communities destroyed, their loved ones murdered, no chance of regaining stolen property, and often angry neighbors who were in a state of total disbelief that any Jews had survived the war. Some of them fled to Germany, where they were housed in centers that were built to house 2,000 people but usually held between 4,000 and 6,000 DPs. Armed guards and barbed wire surrounded the centers. This led many Jews to argue that they were liberated but not free. The DPs were divided into groups based on their prewar nationalities. This meant that Jewish Holocaust survivors were often forced to live among their former oppressors, persecutors, and anti-Semites.

Having lost most of their family members in the Holocaust, many Jewish Displaced Persons began to quickly marry and start new families. In one of history’s greatest ironies, Germany had the highest Jewish birthrate worldwide in 1946. The birth of Jewish babies caused a number of unforeseen issues. The loss of elderly female family members in the Holocaust meant there were few people in the camps who could help teach young women how to nurse their children, be mothers, and keep house. The number of Jewish DPs in postwar Germany increased rapidly in 1946 and 1947 reaching between 250,000 and 300,000 as Jews who had survived the War in the furthest reaches of the Soviet Union were allowed to return to their prewar homes. Meeting violent antisemitism, the vast majority of these Jews fled westward into Germany. The majority of these Jews settled in camps in the American occupation zone where they remained for years awaiting a visa abroad.

IMMIGRATION

Securing visas for resettlement abroad was an incredibly difficult task as many countries continued to have incredibly restrictive immigration quotas. However, changes to United States’ immigration laws, and the creation of the state of Israel allowed many DPs to finally resettle abroad. Somewhere around 800 Jewish DPs remained in camps in Germany until the final center was closed in 1957. The remaining Jews were resettled in various states throughout Germany.

LONG TERM TRAUMA

Many survivors suered from continued traumas from their war experiences and were too sick to be considered attractive immigrants. Many of these Jewish DPs suffered from tuberculosis, mental and physical disabilities.

In order to punish those involved in massacres during the Holocaust, the Allies held the Nuremberg Trials, 1945-46, which brought Nazi atrocities to horrifying light. Countries around the world secretly granted visas to top Nazis and their collaborators in their efforts to advance science (the atom bomb in the U.S.) and fight the “Red Terror” (Communism in the U.S., France and Great Britain, among others) in the East.

Home — Essay Samples — Geography & Travel — Europe — Germany

Essays on Germany

Germany is a country rich in history, culture, and politics, making it an excellent subject for essays. When choosing a topic for your essay on Germany, it's essential to consider the significance of the topic, as well as ensuring that it interests you enough to research and write about it. Here, we'll discuss the importance of the topic, provide advice on choosing a topic, and offer a detailed list of recommended essay topics, divided by category.

Germany is a prominent country in Europe, known for its contributions to art, science, and technology. The country has a complex history, from the time of the Holy Roman Empire to the two World Wars and the division and reunification of East and West Germany. Its political and economic power in the European Union also makes it a critical topic of study. By choosing a Germany essay topic, you have the opportunity to delve into a wide range of subjects, from historical events to current social and political issues.

When choosing a topic for your Germany essay, consider your interests, as well as the relevance and significance of the topic. You may want to focus on a specific period in German history, such as the Weimar Republic or the Cold War era, or explore contemporary issues like immigration and the rise of populism. It's important to select a topic that allows for in-depth research and analysis, and that also aligns with your academic goals and objectives.

• The Impact of the Treaty of Versailles on Germany
• The Rise and Fall of the Berlin Wall
• The Role of Germany in World War II
• The Weimar Republic: Successes and Failures
• The Reunification of East and West Germany
• The Influence of German Expressionism on Film and Art
• The Evolution of German Literature: From Goethe to Grass
• The Impact of Oktoberfest on German Culture
• German Folklore and Fairy Tales
• The Legacy of Bauhaus Architecture
• The Role of Germany in the European Union
• The Rise of the Nazi Party and Hitler's Regime
• German Political Parties and the Current Political Landscape
• Immigration and Multiculturalism in Germany
• The Green Movement and Environmental Policy in Germany

Science and Technology

• The Contributions of German Scientists to Physics and Chemistry
• The History of the Volkswagen Beetle
• The Space Race and Germany's Role in Space Exploration
• The Development of Renewable Energy in Germany
• The Impact of German Engineering on Modern Technology

By choosing one of these essay topics on Germany, you have the opportunity to explore a wide range of subjects, from historical events to cultural traditions and political developments. Remember to select a topic that interests you and allows for thorough research and analysis. With the right topic, you can create a compelling and informative essay that showcases your understanding of Germany's significance in the world.

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24 German Essay Phrases

We need to talk about your German essays.

Essay writing is a skill that you can learn in any language.

All you need is to brush up your vocabulary and follow a few simple strategies, and you’ll be well on your way to writing your first masterpiece.

This post will provide you with a list of useful German words and phrases to include in your next essay, plus the different types of German essays, a few writing strategies and even a sample essay at the end. 

German Essay Phrases

General explaining, ordering facts and ideas, demonstrating contrast, expressing your opinion, summarizing and concluding, what are german essays like, the different types of german essays, how to write an essay in german in 4 steps, 1. write down a list of words , 2. do your research, 3. make an outline using transition words, 4. write directly in german, an example of a german essay, and one more thing....

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Let’s start with the words and phrases themselves. As you’ll see, they’re grouped according to how and when you’ll use them. Let’s start off with some that will help you explain your arguments.

1. Weil (Because)

Daniel muss lernen, weil er morgen einen Test hat.

(Daniel has to study because he has a test tomorrow.)

2. Da (Because)

Daniel muss lernen, da er morgen einen Test hat.

3. Denn (Because)

Daniel muss lernen, denn er hat morgen einen Test.

(Daniel has to study because tomorrow he has a test.)

A quick note: Weil, da and denn are generally interchangeable. Keep in mind though that denn requires a different word order.

4. Damit (In order to; So that)

Lisa lernt viel, damit sie den Test besteht.

(Lisa is studying a lot in order to pass the test.)

5. Um (To; In order to)

Lisa lernt viel, um den Test zu bestehen.

(Lisa is studying a lot to pass the test.)

6. Im Grunde (Basically; Fundamentally)

Im Grunde ist Deutsch keine schwierige Sprache.

(Fundamentally, German is not a difficult language.)

7. Eigentlich (Actually)

Eigentlich ist Deutsch nicht so schwierig, wie es scheint.

(Actually, German is not as difficult as it seems.)

8. Ein Beispiel anführen  (To give an example)

Ich möchte ein Beispiel anführen .

(I would like to give an example.)

9. Dieses Beispiel zeigt, dass… (This example shows that…)

Dieses Beispiel zeigt, dass das Lernen einer Fremdsprache beim Reisen viele Vorteile hat.

(This example shows that studying a foreign language has many advantages when traveling.)

10. Erstens… zweitens… (Firstly… secondly…)

Erstens kann man sich auf Reisen besser verständigen und zweitens lernt man viele neue Leute kennen.

(Firstly, you can communicate better while traveling, and secondly, you meet many new people.)

11. Das Wichtigste ist…  (T he most important thing is…)

Das Wichtigste ist , die Angst vor der Sprache zu verlieren.

(The most important thing is to lose your fear of the language.)

12. Außer dem (Furthermore)

Außerdem kann man beim Reisen seine Sprachkenntnisse verbessern.

(Furthermore, you can improve your language knowledge while traveling.)

13. Nicht nur… sondern auch…  (Not only… but also…)

Nicht nur im Unterricht, sondern auch im Alltag kann man viel Deutsch lernen.

(Not only in class, but also in everyday life you can learn a lot of German.)

14. Obwohl (Even though)

Obwohl Anna viel lernt, hat sie Probleme mit der deutschen Grammatik.

(Even though Anna studies a lot, she has problems with German grammar.)

15. Allerdings (However)

Anna lernt gerne Deutsch, allerdings hat sie Probleme mit der Grammatik.

(Anna enjoys studying German; however, she has problems with the grammar.)

16. Trotz   (Despite)

Trotz ihrer Probleme mit der Grammatik lernt Anna gerne Deutsch.

(Despite her problems with German grammar, Anna enjoys studying German.)

17. Im Vergleich zu (In comparison to)

Im Vergleich zu Russisch ist Deutsch eine einfache Sprache.

In comparison to Russian, German is an easy language.

18. Im Gegensatz zu (In contrast to; Unlike)

Im Gegensatz zu Anna lernt Paul gerne neue Vokabeln.

Unlike Anna, Paul enjoys learning new vocabulary.

19. Meiner Meinung nach (In my opinion)

Meiner Meinung nach sollte jeder eine Fremdsprache lernen.

(In my opinion, everybody should study a foreign language.)

20. Ich bin der Ansicht, dass…  (I believe that…)

Ich bin der Ansicht, dass jeder eine Fremdsprache lernen sollte.

(I believe that everybody should study a foreign language.)

21. Ich finde es schade, dass…  (I think it’s a pity that…)

Ich finde es schade, dass die Schulen keine anderen Fremdsprachen unterrichten.

(I think it’s a pity that schools don’t teach other foreign languages.)

22. Alles in Allem (Overall)

Alles in allem ist Deutsch nicht so schwierig, wie es scheint.

(Overall, German isn’t as difficult as it seems.)

23. Im Großen und Ganzen (Overall)

Im Großen und Ganzen ist Deutsch keine schwierige Sprache.

(Overall, German isn’t a difficult language.)

24. Zusammenfassend kann man sagen, dass…  (In summary, it can be said that…)

Zusammenfassend kann man sagen, dass Sprachen beim Reisen sehr hilfreich sein können.

(In summary, it can be said that languages can be very helpful when traveling.)

Ok, let’s get a little deeper into the actual essays themselves. How do they compare to the essays that you’re probably used to writing?

• They have a similar structure to English essays. Remember how English essays have a beginning, middle and end? Good news: German essays contain those same parts. When you’re writing a German essay, you’ll want to include an opening paragraph with your argument, three supporting paragraphs that further your argument and a conclusion. German and English are often surprisingly similar, and essay structure is no exception.
• German essays are more to the point. Although German essays and English essays are structured similarly, German essays—just like German speakers—tend to be more blunt and to the point. You won’t need to dance around your conclusions or obfuscate in German: just say what you mean.
• German punctuation is different. Germans have different rules for punctuation than English speakers. For example, Germans introduce a direct quote with a colon instead of a comma. They use quotes instead of italics for the names of books, movies and newspapers. And they set off relative clauses beginning with dass (that) with a comma, unlike in American English. Understanding these differences between English and German punctuation will ensure you don’t give yourself away as a non-native speaker through punctuation marks alone!

Before you get started on your essay, make sure you know what type of essay you’re going to write. If it’s a school essay, be sure to read and understand the instructions.

Here are a few notes about the most common kinds of essays in German.

• An Erzählung  is a narrative essay that tells a story. Your teacher might give you some keywords or pictures and ask you to create a story around it. An Erlebniserzählung (“experience story”) is about a personal experience and can be written in the first person.
• An Erörterung is an argumentative essay, a writing piece meant to persuade someone to think the way you do. This writing genre requires you to investigate your topic well and provide evidence to prove your point.
• In a Nacherzählung you summarize and recount a book, a film or an article you have read, from an objective perspective. Depending on the essay instructions, you might be asked for your personal opinion in the conclusion.

Are you ready to start writing? Use these four strategies to wow your teachers and write the perfect German essay.

You should look at any new activity as an opportunity to learn and master new vocabulary . Instead of using the same words that you use in your everyday German speech, use this essay as an opportunity to introduce new words into your German lexicon.

Besides, incorporating academic words that help you craft and shape your argument can make your essay sound more professional and polished. So before you start writing, write down a list of the German words you’d like to incorporate in your essay.

As with everything else, you should look at the research portion of the essay-writing process as an opportunity to learn more about Germany—this time, about German culture, history , politics or travel .

Chances are if you’re writing your essay for a language-learning class, you’ll be assigned a topic pertaining to one of these aspects of German life, so use this as a chance to learn more about Deutschland.

For example, Deutsche Welle offers information and resources about German history. Other newspapers such as Berliner Zeitung and Frankfurter Allgemeine Zeitung offer another perspective on politics and daily life in Germany.

There’s nothing clunkier than an essay that doesn’t flow naturally from one point to the next. Besides, thinking about how your arguments and points interact with each other will help you organize your essay and make sure you get your point across. (Do they support each other? Counter each other? How exactly do they function to further your argument?)

Examples of transition words:

• Vorher (prior)
• zur gleichen Zeit (at the same time)
• dann (then)
• trotzdem (nevertheless)
• noch (still)

Writing an essay in English and then translating it into German often results in stilted, poorly formed sentences and unnatural constructions.

For example, remember that German word order is different from English. If you write “He didn’t read the book,” a one-to-one literal translation would be Er hat gelesen nicht das Buch . But the correct translation is actually  Er hat nicht das Buch gelesen. In this example, translating word for word leads to errors.

There’s another, less tangible reason why it’s not a good idea to write in English and translate to German. Sure, you could just remember that you need to change the word order when translating into German. But isn’t it better to adapt your brain so that German word order seems fluid and natural?

Learning to think and write off-the-cuff in German is an essential step towards fluency, and devising sentences in German, instead of sentences in translation, will help you learn to do that.

One good way to learn to think in a language is to hear it spoken in natural contexts. You can hear German spoken naturally in German language TV shows , movies and YouTube videos .

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Listening to German spoken at a natural speed and native accent will help get you thinking in the language in real time. This will help get you to the point where you can come up with your own sentences in German, rather than thinking in English sentences first and then translating them in your head before you speak or write. That will greatly improve your speed and fluency when writing in German.

So, simply start writing the essay in German. Look up any words you’re not sure of and double-check any grammatical constructions that you’re not familiar with. After you finish writing, ask a German-speaking friend to look over the essay to make sure it sounds natural.

Now that we’ve explored strategies and phrases for writing top-notch German essays, let’s take a look at an example.

World War I doesn’t get as much coverage in the States as World War II (where it was more directly involved). But for Europe, World War I was a devastating example of the dangers of modern technological warfare and the horrors of violence.

Let’s take a look at an example opening paragraph and outline of an essay about the effect of World War I on German government and life.

Opening paragraph:

Der Erste Weltkrieg war ein totaler Krieg, der Deutschland völlig veränderte. Dieser Krieg hat 1914 angefangen, und 1918, als der Krieg zu Ende kam, waren die deutsche Gesellschaft, Regierung und Kultur nicht mehr erkennbar. Am Anfang hat der Erste Weltkrieg altväterliche Ideen und Systeme verstärkt. Am Ende hat dieser Krieg dagegen diese altväterlichen Dinge zerstört.

(The First World War was a total war that completely changed Germany. This war began in 1914 and in 1918, when the war came to an end, German society, government and culture were no longer recognizable. At the beginning, the First World War strengthened old-fashioned ideas and systems. However, by the end, this war destroyed these old-fashioned things.)

Notice that this opening paragraph is not very different at all from the first paragraph of an English essay. You can use the same structure you’ve always used to write your German essay, leaving you free to focus on grammar and vocabulary.

Notice also the use of phrases such as Am Anfang (at the beginning) and Dagegen (however). Words like these can help you make a point and counterpoint in your opening paragraph (or anywhere in your essay, for that matter).

I. Am Anfang (at the beginning):

– Dieser Krieg hat Deutschland vereint . (This war united Germany.) – Menschen hatten ein patriotisches Gefühl. (People had a patriotic feeling.) – Menschen dachten, dass der Krieg bald zu Ende kommen würde. (People thought that the war would soon come to an end.)

Notice that these points employ words like dachten (thought). Written German often relies on Präteritum , a form of the past tense that’s rarely used in spoken Deutsch. It’s often called “literary past tense” for this reason. Check out this guide to the Präteritum to include this tense in your essay.

II. Andrerseits (on the other hand):

– Bald gab es kein Essen mehr . (Soon there was no more food.) – Menschen wurden krank und desillusioniert . (People became sick and disillusioned.) – Es gab Proteste und Unruhen. (There was protest and unrest.)

Like in an English essay, your second and third paragraphs can include supporting points or counterpoints that contribute to the overall theme of your piece. The word Andrerseits (on the other hand) is an ideal transition word to show that you’re moving into another section of your essay.

Also notice that this essay will rely on vocabulary words that the average language learner might not have come across in his or her learning. After all, who learns the words for “disillusioned” and “unrest” in their intermediate German class? But don’t be daunted by the fact that your essay might include eclectic vocabulary. Instead, use this as an opportunity for more learning.

III. zum Schluss (in conclusion):

– Der Kaiser hat abgedankt . (The Emperor abdicated.) – Eine Republik wurde geboren. (A Republic was born.) – Die alten Werte waren weg. (The old values were gone.)

Once again, abgedankt (abdicated) is an example of the literary past tense (and an example of a word that you probably haven’t come across in your previous German studies!)

IV. Schließlich (finally)

– Der Erste Weltkrieg hat Deutschland verändert . (The First World War completely changed Germany.)

Again, like in an English essay, you should use this paragraph to summarize your main point.

Feeling a bit more confident about your next German essay now?

Just make a great essay plan, write down some new words and phrases that you want to include and off you go!

By sprinkling these bits of flair into your German essays, you’re sure to make your writing better and more effective.

Enjoy writing!

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Easy German Essays for Beginners: 8 Examples to Practice Your Language Skills

Are you a beginner in learning German and looking for ways to practice your language skills? One great way to do so is by writing essays in German. Writing essays not only improves your grammar and vocabulary but also helps you express your thoughts and ideas in the target language. In this article, we will provide you with eight easy German essays for Beginners with English translation and vocabulary to help you get started.

• Meine Familie (My family) – Write about your family, including their names, occupations, and hobbies.
• Mein Haus (My house) – Describe your house or apartment, including the number of rooms, furniture, and decorations.
• Meine Hobbys (My hobbies) – Talk about your favorite hobbies, such as playing sports, reading books, or listening to music.
• Meine Schule (My school) – Write about your school, including its location, teachers, and subjects you study.
• Meine Freunde (My friends) – Discuss your friends, including how you met them, their personalities, and what you like to do together.
• Meine Stadt (My city) – Describe your city or town, including its population, tourist attractions, and cultural events.
• Meine Reise (My trip) – Write about a recent trip you took, including the destination, transportation, and activities you did there.
• Meine Lieblingsessen (My favorite food) – Talk about your favorite foods, including traditional German dishes and other international cuisines.

Remember to use simple vocabulary and sentence structures while writing the essays. Good luck with your German learning journey!

Table of Contents

Meine familie (my family).

Ich heiße Maria und ich möchte euch gerne meine Familie vorstellen. Wir sind insgesamt vier Personen in meiner Familie. Mein Vater heißt Klaus und er arbeitet als Ingenieur. Meine Mutter heißt Petra und sie ist Hausfrau. Mein Bruder heißt Jan und er geht noch zur Schule.

(My name is Maria, and I would like to introduce you to my family. We are a family of four. My father’s name is Klaus, and he works as an engineer. My mother’s name is Petra, and she is a homemaker. My brother’s name is Jan, and he still goes to school.)

Vocabulary:

• Ich heiße Maria (My name is Maria)
• insgesamt (altogether)
• vier Personen (four persons)
• der Vater (father)
• arbeiten (to work)
• der Ingenieur (engineer)
• die Mutter (mother)
• Hausfrau (homemaker)
• der Bruder (brother)
• noch zur Schule gehen (still go to school)

Mein Vater arbeitet in einem großen Unternehmen als Ingenieur. Er ist sehr fleißig und verbringt viel Zeit im Büro. In seiner Freizeit geht er gerne joggen oder spielt Golf. Meine Mutter kümmert sich um den Haushalt und verbringt viel Zeit damit, leckere Mahlzeiten zu kochen. Sie liest auch gerne Bücher und geht regelmäßig zum Yoga.

(My father works in a large company as an engineer. He is very hardworking and spends a lot of time in the office. In his free time, he likes to go jogging or play golf. My mother takes care of the household and spends a lot of time cooking delicious meals. She also likes to read books and regularly attends yoga classes.)

• in einem großen Unternehmen (in a large company)
• sehr fleißig (very hardworking)
• viel Zeit (a lot of time)
• im Büro (in the office)
• in seiner Freizeit (in his free time)
• joggen (to go jogging)
• Golf spielen (to play golf)
• sich kümmern um (to take care of)
• der Haushalt (household)
• leckere Mahlzeiten kochen (cook delicious meals)
• gerne lesen (like to read)
• regelmäßig (regularly)
• zum Yoga gehen (go to yoga)

Mein Bruder Jan geht noch zur Schule und ist sehr sportlich. Er spielt Fußball im Verein und geht regelmäßig ins Fitnessstudio. In seiner Freizeit hört er gerne Musik und schaut Filme.

(My brother Jan still goes to school and is very sporty. He plays soccer in a club and regularly goes to the gym. In his free time, he likes to listen to music and watch movies.)

• sehr sportlich (very sporty)
• Fußball spielen (to play soccer)
• im Verein (in a club)
• ins Fitnessstudio gehen (to go to the gym)
• Musik hören (listen to music)
• Filme schauen (watch movies)

Ich studiere im Moment an der Universität und meine Hobbys sind Lesen, Reisen und Yoga. In meiner Freizeit gehe ich gerne in die Natur und genieße die frische Luft.

(I am currently studying at the university, and my hobbies are reading, traveling, and yoga. In my free time, I like to go into nature and enjoy the fresh air.)

• studieren (to study)
• an der Universität (at the university)
• die Hobbys (hobbies)
• Lesen (reading)
• Reisen (traveling)
• Yoga (yoga)
• die Freizeit (free time)
• in die Natur gehen (go into nature)
• genießen (enjoy)
• frische Luft (fresh air)

Das ist meine Familie. Wir haben viele verschiedene Hobbys und Interessen, aber wir verbringen auch gerne gemeinsam Zeit miteinander.

(This is my family. We have many different hobbies and interests, but we also enjoy spending time together.)

• das ist (this is)
• verschiedene Hobbys und Interessen (different hobbies and interests)
• gerne Zeit miteinander verbringen (enjoy spending time together)

Top reasons why Berlin is the best city for Expats!

Mein Haus (My House)

Ich lebe in einem Haus mit drei Schlafzimmern und zwei Bädern. Das Haus ist zweistöckig und hat auch einen Keller. Im Erdgeschoss befinden sich das Wohnzimmer, die Küche und ein Esszimmer. Im Wohnzimmer haben wir ein bequemes Sofa und einen großen Fernseher. In der Küche gibt es eine Spülmaschine, einen Herd, einen Backofen und einen Kühlschrank. Das Esszimmer hat einen Esstisch mit sechs Stühlen.

(I live in a house with three bedrooms and two bathrooms. The house is two stories and also has a basement. On the ground floor, there is the living room, kitchen, and a dining room. In the living room, we have a comfortable sofa and a large television. In the kitchen, there is a dishwasher, stove, oven, and refrigerator. The dining room has a dining table with six chairs.)

• das Haus (house)
• die Schlafzimmer (bedrooms)
• die Bäder (bathrooms)
• zweistöckig (two-storied)
• der Keller (basement)
• das Erdgeschoss (ground floor)
• das Wohnzimmer (living room)
• die Küche (kitchen)
• das Esszimmer (dining room)
• ein bequemes Sofa (a comfortable sofa)
• ein großer Fernseher (a large television)
• eine Spülmaschine (a dishwasher)
• ein Herd (a stove)
• ein Backofen (an oven)
• ein Kühlschrank (a refrigerator)
• ein Esstisch (a dining table)
• sechs Stühle (six chairs)

Im Obergeschoss befinden sich die Schlafzimmer und die Bäder. Mein Schlafzimmer hat ein großes Bett, einen Schreibtisch und einen Kleiderschrank. Das Badezimmer hat eine Badewanne und eine Dusche. In den anderen Schlafzimmern gibt es auch Betten und Schränke für Kleidung.

(Upstairs, there are the bedrooms and bathrooms. My bedroom has a large bed, a desk, and a closet. The bathroom has a bathtub and a shower. In the other bedrooms, there are also beds and closets for clothes.)

• das Obergeschoss (upper floor)
• das Schlafzimmer (bedroom)
• der Schreibtisch (desk)
• der Kleiderschrank (closet)
• das Badezimmer (bathroom)
• die Badewanne (bathtub)
• die Dusche (shower)
• die anderen Schlafzimmer (the other bedrooms)

Im Keller haben wir eine Waschmaschine und einen Trockner. Wir nutzen den Keller auch als Lager für Dinge, die wir nicht oft brauchen.

(In the basement, we have a washing machine and dryer. We also use the basement as a storage area for things we don’t need often.)

• die Waschmaschine (washing machine)
• der Trockner (dryer)
• als Lager nutzen (use as storage area)
• Dinge (things)

Wir haben auch einige Dekorationen im Haus. Im Wohnzimmer haben wir ein großes Gemälde an der Wand und im Esszimmer steht eine Vase mit Blumen auf dem Tisch.

(We also have some decorations in the house. In the living room, we have a large painting on the wall, and in the dining room, there is a vase of flowers on the table.)

• die Dekorationen (decorations)
• das Gemälde (painting)
• die Wand (wall)
• die Vase (vase)
• die Blumen (flowers)
• der Tisch (table)

Wir haben auch ein paar Teppiche im Haus, um den Boden zu bedecken. Das Wohnzimmer hat einen braunen Teppich, während die Schlafzimmer jeweils einen unterschiedlichen Farbton haben. Mein Schlafzimmer hat einen blauen Teppich, während das andere Schlafzimmer einen roten Teppich hat.

(We also have some carpets in the house to cover the floor. The living room has a brown carpet, while the bedrooms have a different color tone each. My bedroom has a blue carpet, while the other bedroom has a red carpet.)

• der Teppich (carpet)
• den Boden bedecken (to cover the floor)
• unterschiedliche Farbton (different color tone)

Insgesamt bin ich sehr glücklich mit meinem Haus. Es ist gemütlich und hat genug Platz für meine Familie und mich.

(Overall, I am very happy with my house. It is cozy and has enough space for my family and me.)

• insgesamt (overall)
• glücklich (happy)
• gemütlich (cozy)
• genug Platz (enough space)

Difference between ein, eine, einen, and einem in the German Language

Meine hobbys (my hobbies).

Ich habe einige Hobbys, die ich sehr gerne mache. Eines meiner Lieblingshobbys ist es, Sport zu treiben. Insbesondere mag ich es, Basketball zu spielen und Laufen zu gehen. Ich liebe es, im Freien zu sein und Sport zu treiben, weil es mir hilft, mich fit und gesund zu halten.

(I have some hobbies that I really enjoy doing. One of my favorite hobbies is doing sports. In particular, I like to play basketball and go running. I love being outdoors and doing sports because it helps me stay fit and healthy.)

• das Hobby (hobby)
• Sport treiben (to do sports)
• Basketball spielen (to play basketball)
• Laufen gehen (to go running)
• im Freien sein (to be outdoors)
• fit und gesund (fit and healthy)

Ein weiteres Hobby von mir ist das Lesen von Büchern. Ich lese gerne Romane und Sachbücher, besonders über Geschichte und Wissenschaft. Lesen ist für mich eine Möglichkeit, zu lernen und meine Vorstellungskraft zu erweitern.

(Another hobby of mine is reading books. I enjoy reading novels and non-fiction books, especially about history and science. Reading is a way for me to learn and expand my imagination.)

• das Lesen (reading)
• das Buch (book)
• der Roman (novel)
• das Sachbuch (non-fiction book)
• die Geschichte (history)
• die Wissenschaft (science)
• die Vorstellungskraft (imagination)

Außerdem höre ich gerne Musik. Ich mag viele verschiedene Genres wie Pop, Rock und Klassik. Musik kann meine Stimmung beeinflussen und mich entspannen.

(Additionally, I like to listen to music. I enjoy many different genres like pop, rock, and classical. Music can influence my mood and help me relax.)

• die Musik (music)
• das Genre (genre)
• Pop, Rock, Klassik (pop, rock, classical)
• die Stimmung (mood)
• sich entspannen (to relax)

Insgesamt bin ich sehr dankbar für meine Hobbys. Sie helfen mir, meinen Geist und Körper gesund zu halten und mich zu entspannen.

(Overall, I am very grateful for my hobbies. They help me keep my mind and body healthy and help me relax.)

• dankbar (grateful)
• der Geist (mind)
• der Körper (body)

German Essays on My Family: Meine Familie

Meine schule (my school).

Ich besuche eine Schule in der Nähe meines Hauses. Die Schule ist relativ groß und hat viele Schülerinnen und Schüler. Wir haben viele Lehrerinnen und Lehrer, die alle sehr nett und hilfsbereit sind.

(I attend a school near my house. The school is relatively large and has many students. We have many teachers who are all very kind and helpful.)

• besuchen (to attend)
• die Nähe (proximity)
• relativ (relatively)
• die Schülerin (female student)
• der Schüler (male student)
• viele (many)
• die Lehrerin (female teacher)
• der Lehrer (male teacher)
• nett (kind)
• hilfsbereit (helpful)

Die Schule bietet viele verschiedene Fächer an, einschließlich Mathematik, Geschichte, Englisch, Naturwissenschaften und Fremdsprachen. Mein Lieblingsfach ist Englisch, weil ich gerne Geschichten lese und schreibe. Ich denke, dass es wichtig ist, eine gute Ausbildung zu haben, um im Leben erfolgreich zu sein.

(The school offers many different subjects, including mathematics, history, English, science, and foreign languages. My favorite subject is English because I enjoy reading and writing stories. I believe that having a good education is important to be successful in life.)

• das Fach (subject)
• einschließlich (including)
• Mathematik (mathematics)
• Geschichte (history)
• Englisch (English)
• Naturwissenschaften (science)
• Fremdsprachen (foreign languages)
• das Lieblingsfach (favorite subject)
• die Geschichte (story)
• die Ausbildung (education)
• erfolgreich (successful)

Unsere Schule hat auch viele außerschulische Aktivitäten, wie zum Beispiel Sportmannschaften und Musikgruppen. Ich bin Mitglied des Schulfußballteams und wir haben viele Spiele gegen andere Schulen in der Gegend. Es macht mir viel Spaß und ich habe viele Freunde durch das Team kennengelernt.

(Our school also has many extracurricular activities, such as sports teams and music groups. I am a member of the school soccer team and we have many games against other schools in the area. It’s a lot of fun and I have made many friends through the team.)

• außerschulisch (extracurricular)
• die Aktivitäten (activities)
• die Sportmannschaften (sports teams)
• die Musikgruppen (music groups)
• das Mitglied (member)
• das Schulfußballteam (school soccer team)
• das Spiel (game)
• die Gegend (area)
• der Spaß (fun)
• der Freund (friend)

Insgesamt bin ich sehr glücklich auf meiner Schule und ich denke, dass ich hier eine gute Ausbildung bekomme. Ich hoffe, dass ich in Zukunft noch mehr von den vielen Möglichkeiten, die die Schule bietet, profitieren kann.

(Overall, I am very happy at my school and I think that I am getting a good education here. I hope that in the future, I can take advantage of even more of the many opportunities that the school offers.)

• die Möglichkeit (opportunity)
• profitieren (to take advantage of)

List of German adjectives with English meaning

Meine Freunde (My friends)

Ich habe viele Freunde, aber ich möchte über meine drei engsten Freunde sprechen. Wir haben uns alle in der Grundschule kennengelernt und sind seitdem unzertrennlich.

(I have many friends, but I want to talk about my three closest friends. We all met in elementary school and have been inseparable ever since.)

• die Freunde (friends)
• unzertrennlich (inseparable)

Mein erster Freund heißt Max. Er ist sehr sportlich und spielt gerne Fußball und Basketball. Max ist auch sehr lustig und hat immer eine positive Einstellung. Wir lieben es, zusammen Sport zu treiben oder Videospiele zu spielen.

(My first friend is Max. He is very athletic and likes to play soccer and basketball. Max is also very funny and always has a positive attitude. We love to exercise or play video games together.)

• sportlich (athletic)
• Fußball (soccer)
• Basketball (basketball)
• die Einstellung (attitude)
• lustig (funny)
• zusammen (together)
• Videospiele (video games)

Meine Freundin Anna ist sehr künstlerisch und liebt es zu malen und zu zeichnen. Sie hat auch ein großes Herz und ist immer bereit, anderen zu helfen. Anna und ich machen oft zusammen Kunstprojekte oder gehen ins Kino.

(My friend Anna is very artistic and loves to paint and draw. She also has a big heart and is always willing to help others. Anna and I often do art projects together or go to the movies.)

• künstlerisch (artistic)
• malen (to paint)
• zeichnen (to draw)
• das Herz (heart)
• bereit (willing)
• helfen (to help)
• das Kunstprojekt (art project)
• ins Kino gehen (to go to the movies)

Mein Freund Tom ist sehr intelligent und liebt es, neue Dinge zu lernen. Er ist auch sehr abenteuerlustig und geht gerne auf Reisen. Tom und ich haben viele spannende Abenteuer erlebt, wie zum Beispiel Campingausflüge oder Klettertouren.

(My friend Tom is very smart and loves to learn new things. He is also very adventurous and likes to travel. Tom and I have had many exciting adventures, such as camping trips or climbing expeditions.)

• intelligent (smart)
• abenteuerlustig (adventurous)
• die Reise (travel)
• die Abenteuer (adventures)
• der Campingausflug (camping trip)
• die Klettertour (climbing expedition)

Insgesamt bin ich sehr dankbar für meine Freunde und bin froh, dass ich sie habe. Wir haben so viele schöne Erinnerungen zusammen gemacht und ich freue mich auf viele weitere Abenteuer mit ihnen.

(Overall, I am very grateful for my friends and am glad to have them. We have made so many beautiful memories together and I look forward to many more adventures with them.)

• froh (glad)
• die Erinnerungen (memories)

Meine Stadt (My city)

Ich lebe in einer Stadt namens Hamburg in Deutschland. Hamburg ist die zweitgrößte Stadt Deutschlands und hat eine Bevölkerung von etwa 1,8 Millionen Menschen. Es ist eine Hafenstadt und liegt an der Elbe.

(I live in a city called Hamburg in Germany. Hamburg is the second largest city in Germany and has a population of about 1.8 million people. It is a port city and located on the river Elbe.)

• die Bevölkerung (population)
• der Hafen (port)
• die Elbe (river Elbe)

Hamburg ist bekannt für seine vielen Touristenattraktionen. Eines der bekanntesten ist der Hamburger Hafen, der einer der größten Häfen Europas ist. Es gibt auch den Fischmarkt, auf dem man frischen Fisch kaufen und lokale Spezialitäten probieren kann.

(Hamburg is known for its many tourist attractions. One of the most famous is the Port of Hamburg, which is one of the largest ports in Europe. There is also the Fish Market, where you can buy fresh fish and try local specialties.)

• die Touristenattraktionen (tourist attractions)
• bekannt (known)
• der Fischmarkt (fish market)
• frisch (fresh)
• lokale Spezialitäten (local specialties)

Außerdem gibt es viele kulturelle Veranstaltungen in Hamburg. Jedes Jahr findet das Hamburger Domfest statt, das größte Volksfest im Norden Deutschlands. Es gibt auch das Internationale Filmfest Hamburg, bei dem Filme aus der ganzen Welt gezeigt werden.

(Additionally, there are many cultural events in Hamburg. Every year, the Hamburg Dom Festival takes place, which is the largest folk festival in northern Germany. There is also the Hamburg International Film Festival, where films from all over the world are shown.)

• kulturelle Veranstaltungen (cultural events)
• das Domfest (folk festival)
• das Internationale Filmfest (international film festival)
• aus der ganzen Welt (from all over the world)

Insgesamt ist Hamburg eine lebendige und vielfältige Stadt, die für jeden etwas zu bieten hat.

(Overall, Hamburg is a vibrant and diverse city that has something to offer for everyone.)

• lebendig (vibrant)
• vielfältig (diverse)
• etwas zu bieten haben (to have something to offer)

My trip (Meine Reise)

Ich bin vor Kurzem mit meiner Familie nach Paris gereist. Wir sind direkt von unserer Stadt aus geflogen und kamen früh am Morgen in Paris an.

(I recently went on a trip to Paris with my family. We took a direct flight from our city and arrived in Paris early in the morning.)

• Vor Kurzem (recently)
• Die Reise (trip)
• Meine Familie (my family)
• Fliegen (to fly)
• Direkt (direct)
• Unsere Stadt (our city)
• Ankommen (to arrive)
• Früh (early)
• Am Morgen (in the morning)

Wir haben in einem Hotel im Herzen der Stadt gewohnt, in der Nähe vieler beliebter Sehenswürdigkeiten. Unser Hotelzimmer hatte eine tolle Aussicht auf den Eiffelturm, der nur einen kurzen Spaziergang entfernt war.

(We stayed in a hotel in the heart of the city, close to many popular tourist attractions. Our hotel room had a great view of the Eiffel Tower, which was just a short walk away.)

• das Hotel (hotel)
• die Stadt (city)
• die Nähe (proximity, closeness)
• die Sehenswürdigkeiten (tourist attractions)
• das Hotelzimmer (hotel room)
• die Aussicht (view)
• der Eiffelturm (Eiffel Tower)
• der Spaziergang (walk)

Während unseres Aufenthalts haben wir viele berühmte Wahrzeichen der Stadt besucht, darunter das Louvre-Museum und die Kathedrale Notre-Dame. Wir haben auch eine Bootsfahrt auf der Seine gemacht, was eine großartige Möglichkeit war, die Stadt aus einer anderen Perspektive zu sehen.

(During our stay, we visited many of the city’s famous landmarks, including the Louvre Museum and Notre-Dame Cathedral. We also went on a boat tour of the Seine River, which was a great way to see the city from a different perspective.)

• der Aufenthalt (stay)
• berühmte Wahrzeichen (famous landmarks)
• das Louvre-Museum (the Louvre Museum)
• die Kathedrale Notre-Dame (Notre-Dame Cathedral)
• die Bootsfahrt (boat tour)
• die Seine (the Seine River)
• aus einer anderen Perspektive (from a different perspective)

Eines der Highlights unserer Reise war das Probieren der köstlichen französischen Küche. Wir haben in vielen verschiedenen Restaurants und Cafés gegessen und alles von Croissants bis Escargots ausprobiert.

(One of the highlights of our trip was trying the delicious French cuisine. We ate at many different restaurants and cafes, and tried everything from croissants to escargots.)

• das Highlight (the highlight)
• die Reise (the trip)
• das Probieren (the trying/tasting)
• die köstliche französische Küche (the delicious French cuisine)
• das Restaurant (the restaurant)
• das Café (the café)
• alles (everything)
• der Croissant (the croissant)
• die Escargots (the escargots (snails))

Insgesamt war unser Trip nach Paris eine wunderbare Erfahrung. Wir haben die schönen Sehenswürdigkeiten, das leckere Essen und die reiche Kultur der Stadt genossen. Es war eine großartige Gelegenheit, Zeit mit meiner Familie zu verbringen und bleibende Erinnerungen zu schaffen.

(Overall, our trip to Paris was a wonderful experience. We enjoyed the beautiful sights, delicious food, and rich culture of the city. It was a great opportunity to spend time with my family and create lasting memories.)

• Insgesamt (Overall)
• Trip (trip)
• Paris (Paris)
• Eine wunderbare Erfahrung (A wonderful experience)
• Wir haben genossen (We enjoyed)
• Die schönen Sehenswürdigkeiten (The beautiful sights)
• Das leckere Essen (The delicious food)
• Die reiche Kultur der Stadt (The rich culture of the city)
• Eine großartige Gelegenheit (A great opportunity)
• Zeit mit meiner Familie zu verbringen (To spend time with my family)
• Bleibende Erinnerungen zu schaffen (To create lasting memories)

Meine Lieblingsessen (My favorite food)

Ich esse gerne viele verschiedene Arten von Essen und habe viele Lieblingsspeisen. Einige meiner Favoriten sind traditionelle deutsche Gerichte wie Schnitzel und Spätzle, Sauerkraut und Bratwurst.

(I like to eat many different types of food and have many favorite dishes. Some of my favorites are traditional German dishes like Schnitzel and Spätzle, Sauerkraut, and Bratwurst.)

• Lieblingsspeisen (favorite dishes)
• traditionelle deutsche Gerichte (traditional German dishes)
• Schnitzel (breaded and fried meat cutlets)
• Spätzle (soft egg noodles)
• Sauerkraut (fermented cabbage)
• Bratwurst (grilled or fried sausage)

Ich mag auch viele internationale Küchen, wie zum Beispiel italienische Pizza und Pasta, thailändisches Curry, indische Masala und japanisches Sushi.

(I also enjoy many international cuisines, such as Italian pizza and pasta, Thai curry, Indian masala, and Japanese sushi.)

• internationale Küchen (international cuisines)

Ein weiteres meiner Lieblingsessen ist mexikanisches Essen wie Tacos, Quesadillas und Guacamole. Die Kombination aus scharfen Gewürzen und frischen Zutaten macht das Essen zu einer Geschmacksexplosion.

(Another one of my favorite foods is Mexican cuisine like tacos, quesadillas, and guacamole. The combination of spicy seasonings and fresh ingredients makes the food a flavor explosion.)

• scharfe Gewürze (spicy seasonings)
• frische Zutaten (fresh ingredients)
• Geschmacksexplosion (flavor explosion)
• mexikanisches Essen (Mexican cuisine)
• Tacos (filled tortillas)
• Quesadillas (stuffed and grilled tortillas)
• Guacamole (dip made from mashed avocado)

Insgesamt genieße ich es, neue Gerichte und Küchen auszuprobieren und verschiedene Aromen und Texturen zu entdecken. Essen ist eine große Leidenschaft von mir und ich liebe es, zu kochen und neue Rezepte zu kreieren.

(Overall, I enjoy trying new dishes and cuisines and discovering different flavors and textures. Food is a big passion of mine, and I love to cook and create new recipes.)

• Aromen und Texturen (flavors and textures)
• Leidenschaft (passion)
• Rezepte (recipes)
• kochen (to cook)
• kreieren (to create)

Some Travel hacks when travelling in Europe

Conclusion:

In conclusion, writing essays in German can be a fun and effective way to improve your language skills. The eight essay examples provided in this article (Easy German Essays for Beginners) offer a range of topics that will help you practice your writing skills, expand your vocabulary, and gain confidence in your ability to express yourself in German. So why not try writing one of these essays today and see how much progress you can make in your German language journey?

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• John Breuilly  

Part of the book series: New Perspectives in German Studies ((NPG))

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Germany’s first unification occurred well over a century ago, the second a little more than a decade ago. Conventional wisdom suggests that the passage of time stabilises understanding and that we would expect more agreement concerning the first unification than the second.

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The views argued in this condusion have been strongly influenced by the recent book by Konrad Jarausch and Michael Geyer, Shattered Past: Reconstructing German Histories (Princeton/Oxford 2003).

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See Klaus Plonien, ‘Mauersprunge gegen Unkenrufe: Peter Schneider und die Rolle der Intellektuellen in Zeiten deutscher Einheit’, in Ursula E. Beitter (ed.), Literatur und Identitat. Deutsch-deutsche Befindlichkeiten und die inultikulturelle Gesellschaft (New York 2000), pp. 195–207. See also the essays by Butler and Ross in this volume.

‘Der Schof3 ist fruchtbar noch, aus dem das kroch’, Bertolt Brecht, Grofle kommentierte Berliner und Frankfurter Ausgabe, Stiicke 7 (Berlin/Frankfurt a. M. 1991), p. 112. This, the dosing line of Der aufhaltsame Aufstieg des Arturo Ui , is perhaps the best-known formulation of the Communist assertion that fascism is the natural child of capitalism.

The classic triumphalist expression of this is Francis Fukuyama, The End of Histon,/and the Last Man (London 1992). For its detailed application to German history see Heinrich August Winlder, Der lange Weg nach Westen. Deutsche Geschichte 1806–1990 , 2 vols (München 2001). The very title of this book implies that ‘progress’ has been reduced to joining the ‘west’.

There were around 150,000 deaths in the war of 1866 and over 700,000 in that of 1870–71. See Raymond Pearson (ed.), The Longman Companion to European Nationalism, 1789–1920 (London 1994), p. 245.

See Charles Maier, ‘German war, German peace’, in Mary Fulbrook (ed.), German Histonj since 1800 (London 1997), pp. 539–55.

For the emergence of a political culture oriented on mass politics, see Margaret L. Anderson, Practicing democracy: elections and political culture in Imperial Germany (Princeton, NJ 2000).

Total government expenditure in 1872 was around 7.5 per cent of GNP and had roughly doubled by 1913; see Hans-Ulrich Wehler, Deutsche Gesellschaftsgeschichte 1849–1914 (Munchen 1995), p. 887. By the late 20th century government expenditure in social democratic states like Germany typically fluctuates around 50 per cent of GNP.

See Peter Hübner (ed.), Eliten im Sozialismus. Beiträge zur Sozialgeschichte der DDR (Köln 1999) and the brief comments in Jarausch and Geyer, Shattered Past , pp. 193–96.

See the various essays in Karl Eckart and Konrad Scherf (eds), Deutschland auf dem Weg zur inneren Einheit (Berlin 2004) which in many ways contradict the implication of the book title that there is a unifying process at work.

On continuities or changes in attitudes see Jorn Leonhard and Lothar Funk (eds), Ten Years of German Unification: Transfer, Transformation, Incorporation? (Birmingham 2002), especially the chapters by Jonathan Grix, ‘Revolution and Transformation in East Germany: Revisiting the Dominant Paradigms’, pp. 56–68, and Arnd Bauerkamper, ‘The Incorporation of a Fragmented Society: Historical Roots of Values in Individuals’ Choices after 1989’, pp. 81–97.

For some interesting comparisons and reflections on revolution, although unfortunately it does not include the first unification, see Jorn Leonhard, ‘Anatomies of Failure? Revolutions in German History: 1848/49, 1918 and 1989/90’, in Leonhard and Funk (eds), Ten years of German Unification , pp. 21–55.

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About this chapter

Breuilly, J. (2005). Conclusion. In: Speirs, R., Breuilly, J. (eds) Germany’s Two Unifications. New Perspectives in German Studies. Palgrave Macmillan, London. https://doi.org/10.1057/9780230518520_18

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The Rise of Adolf Hitler: a Historical Examination of his Ascendancy to Power

This essay about the rise of Adolf Hitler explores the complex factors that facilitated his ascent to power in Germany. It examines his early influences, political maneuvering, and the socio-economic climate of post-World War I Europe. From the founding of the Nazi Party to Hitler’s consolidation of authoritarian control, the text into the devastating consequences of his totalitarian regime, culminating in the horrors of the Holocaust. Through a cautionary lens, it underscores the dangers of extremism and the importance of safeguarding democratic values against tyranny.

How it works

In the annals of history, few figures cast as long and sinister a shadow as Adolf Hitler. The rise of this enigmatic leader to power in Germany during the early 20th century remains one of the most studied and debated subjects in modern historiography. Exploring the intricacies of his ascendancy reveals a complex tapestry of political, social, and economic factors that converged to create an environment ripe for his brand of extremism.

Born in 1889 in Braunau am Inn, Austria-Hungary, Hitler’s early life offered little indication of the havoc he would wreak upon the world stage.

His humble beginnings, marked by familial strife and a lackluster academic record, hardly foreshadowed his meteoric rise to prominence. However, it was during his formative years in Vienna that Hitler’s worldview began to take shape, influenced by a unique blend of fervent nationalism, simmering anti-Semitism, and a fervent desire for personal vindication amidst the tumultuous aftermath of World War I.

The aftermath of the Great War left Germany in a state of disarray, grappling with economic turmoil, political instability, and a profound sense of national humiliation. The Treaty of Versailles, with its punitive reparations and territorial dismemberment, exacerbated the country’s woes, fueling resentment and disillusionment among the populace. In this crucible of discontent, Hitler found fertile ground for his demagoguery, exploiting grievances and scapegoating marginalized groups to rally support for his radical agenda.

Central to Hitler’s ascent was the founding of the National Socialist German Workers’ Party (NSDAP), commonly known as the Nazi Party, in 1920. Embracing a platform of ultra-nationalism, anti-Semitism, and anti-communism, the Nazis tapped into the pervasive sense of anger and resentment festering within German society. Hitler’s magnetic charisma and spellbinding oratory proved instrumental in galvanizing support, as he skillfully manipulated mass media and propaganda to propagate his message of racial purity and national rejuvenation.

The failed Beer Hall Putsch of 1923, though initially a setback, served to elevate Hitler’s status as a martyr and martyr figure within far-right circles. His subsequent trial and brief imprisonment provided a platform to further disseminate his extremist ideology, laying the groundwork for a gradual ascent to power through more conventional political means. In the ensuing years, amidst economic turmoil and political instability, the Nazi Party steadily gained traction, capitalizing on widespread discontent and exploiting the failures of the Weimar Republic.

The turning point came in 1933 when Hitler was appointed Chancellor of Germany by President Paul von Hindenburg, following a series of intricate political maneuvers and backroom negotiations. The Reichstag fire, shrouded in controversy and suspicion, provided the pretext for the suspension of civil liberties and the consolidation of authoritarian control. With the passage of the Enabling Act, Hitler effectively transformed the Weimar Republic into a totalitarian state, extinguishing any semblance of democratic opposition and ushering in an era of unprecedented tyranny.

The subsequent years witnessed a rapid consolidation of power, as Hitler and his inner circle implemented a ruthless agenda of militarization, expansionism, and racial persecution. The Nuremberg Laws of 1935 institutionalized discrimination against Jews, stripping them of their rights and relegating them to second-class status. Kristallnacht, the infamous “Night of Broken Glass” in 1938, marked a violent escalation of anti-Semitic violence, foreshadowing the horrors of the Holocaust yet to come.

The outbreak of World War II in 1939 provided Hitler with the opportunity to fulfill his imperial ambitions, as Germany embarked on a campaign of conquest and subjugation across Europe. The Blitzkrieg tactics employed with devastating effect in Poland, France, and the Low Countries showcased the military prowess of the Nazi war machine, while also laying bare the moral bankruptcy of Hitler’s regime. The atrocities committed on the Eastern Front, culminating in the mass murder of millions in the Holocaust, stand as a chilling testament to the depths of human depravity unleashed by Hitler’s megalomania.

Ultimately, Hitler’s reign of terror would come to a cataclysmic end with the Allied victory in 1945, as Germany lay in ruins and the full extent of Nazi atrocities was laid bare for the world to see. The Nuremberg Trials, convened to hold Nazi leaders accountable for their crimes against humanity, underscored the enduring legacy of Hitler’s malevolent regime. Yet, even in defeat, Hitler’s specter continues to haunt the collective conscience of mankind, serving as a stark reminder of the dangers of unchecked authoritarianism and the fragility of democratic institutions in the face of tyranny.

In conclusion, the rise of Adolf Hitler stands as a cautionary tale of the perils of political extremism and the seductive allure of demagoguery in times of crisis. From humble beginnings to wielding absolute power, Hitler’s ascent to prominence was fueled by a potent combination of economic hardship, political instability, and virulent nationalism. His totalitarian regime unleashed untold suffering and devastation upon the world, leaving an indelible scar on the fabric of human history. As we reflect on the lessons of the past, may we remain ever vigilant in safeguarding the principles of freedom, tolerance, and democracy against the forces of tyranny and oppression.

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Berlin Wall’s Importance for Germany Essay

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Introduction

Reasons for berlin wall construction, berlin wall construction, effects of berlin wall, flattening of the wall.

The post Second World War was characterized by many political challenges in Europe. In Germany, the government struggled to consolidate its political power through various mechanisms.

In August 1961, “a fence was erected by the German Democratic Republic that is popularly referred to as East Germany” (Rose & Bailey 2004, p.34). The wall demarcated the West Berlin territory from East Germany. Watch towers were also erected strategically at various intervals along the wall with an aim of checking on illegal intrusion or exit from East Germany.

The Eastern Bloc contended that the barrier would save its masses from the fascist influence that was likely to jeopardize the development of socialism in the nation. Ideally, the wall was meant to suppress mass departure of citizens from East Germany after the Second World War. It was also meant to prevent the citizens from supporting fascist ideologies. This historic wall was formally known as the Anti-Fascist Defense Fortification.

Prior to the creation of the Berlin Wall, it is estimated that over three million citizens breached the stringent immigration codes and moved into Western Berlin territory (Tilman 1990, p. 78). From this place, they relocated to other Western European countries. These massive emigrations were proscribed in 1961 upon the creation of the Wall. The ban lasted until 1989 when the wall was flattened and it paved way for the reunification of Germany (Buckley 2004, p. 56).

After World War Two, the war torn Germany was split into four sub territories that were under the control of the Allied forces. The capital of Berlin that acted as the main operation zone of the Allied powers was also partitioned into four territories despite being situated within the Soviet territory.

After one and half years, political rivalries ensued between the occupying forces and the Soviets. One of the key disputes was the failure of the Soviets to accept the reconstruction strategies for revamping the economy and political stability of Germany. “Britain, France, the United States and the Benelux countries later combined the non-Soviet zones of the country into one zone for reconstruction and approved the extension of the Marshall Plan” (Waters 1990, p. 89).

In post 1945, Joseph Stalin governed an amalgamation of countries in the Western Border. He also desired to take control of the weakened Germany that was at that time under the management of the Soviet. Stalin, therefore, informed the leaders of Germany that he was planning to gradually destabilize the British occupation of German territories. According to Stalin, this was the most viable way to get rid of foreign powers and reunite Germany (Tusa 2008, p. 237).

The most important mission of the Leninist Party in the Soviet region was to direct Soviet instructions to both the government machinery and the other alliance parties. Leninist ideologies would eventually be exercised as internal procedures (Pearcy 2009, p.123). The teaching of Marxism ideologies was made mandatory in learning institutions (Morton & Adler 2010, p. 324).

From 1948, Stalin started reacting to the disagreements on how to rebuild the fallen Germany. In this case, he introduced the Berlin Cordon that debarred West Berlin from accessing necessary material supplies including food (Reeves 2011, p. 301). On the other hand, the Allied powers responded to Stalin’s actions by airlifting food and logistics to West Berlin.

The Soviets carried out public crusade in opposition to western strategy change. In late 1948, the members of the Communist Party tried to interfere with the food aids, but over three hundred Berliners picketed in demand for the continuation of the airlifts. Finally, Stalin withdrew the barricade in mid 1949; thus, allowing the hauling of supplies to Berlin (Miller 2008, p. 81).

West Germany embraced a capitalist economy and created a democratic legislative body. These political and economic reforms spurred quick economic growth in Western Germany. The robust economic growth that was witnessed in the western part of Germany attracted the people of Eastern Germany who were eying the better opportunities (Cherny 2009, p. 456).

In the 1950s, the Eastern Bloc also embraced the strategies that the Soviet applied to check on emigration. The restriction posed a great challenge to some countries that had gained economic prosperity in the Eastern Bloc. Before 1952, there was no limitation to frustrate movement of people from the Eastern Bloc to Western Germany.

This freedom of movement was curtailed in April 1952, when Eastern Germany officials held a meeting with Stalin (Soviet leader). “During the discussions, it was proposed that the East Germans should introduce a system of passes so as to stop the free movement of Western agents in the German Democratic Republic” (Childs 2001, p.156).

Stalin supported the idea and encouraged the Eastern Bloc to demarcate their territories by erecting a high rise wall. Therefore, the internal German boundary between East and West was totally cordoned with a fence. However, “the boundary between the Western and Eastern sectors of Berlin remained open, but traffic between the Soviet and Western sectors was somewhat restricted” (Harrison 2003, p.145).

Consequently, Berlin attracted immigrants that were fleeing the Eastern Bloc due to the unbearable living conditions. At first, East Germany would intermittently allow its citizens to visit the Western Bloc, but that freedom was short lived. In 1956, there was a total ban on emigration to West Germany after several citizens deserted East Germany.

The introduction of stringent immigration codes in 1952 led to the blockading of the interior Germany boundary. Therefore, East Germans used the Berlin border as the only gateway point to Western Germany. The German Democratic Republic acted very quickly to contain the exodus of its citizens by introducing more pass laws in late 1957. Individuals that were found crossing over to Berlin without authentic documentation were severely punished.

However, these emigration codes remained ineffective since people could still move to West Berlin by train. Besides, there were no physical barriers that could curb illegal movement of citizens out of East Germany. The Western Border was left open for some time to avoid disrupting connections to East Germany. The construction of an alternative railway that connected Western Berlin began in 1951 and ended in 1961. This led to the complete railing of the West Berlin boundary.

East German lost its industrious residents through massive emigrations; hence, it experienced a severe problem of brain drain. Most of the emigrants were in their formative years and were well trained in various disciplines. This meant that East Germany was left with no technocrats to spur industrial growth in the country.

On the other hand, West Germany gained considerably from the high supply of trained professionals which enabled it to improve its economy. “The brain drain of professionals had become so damaging to the political credibility and economic viability of East Germany that the re-securing of the German Communist frontier was imperative” (Dale 2005, p. 256).

“The East Germany officials authorized the construction of the wall on 12, August 1961 and the German military began securing it immediately” (Gaddis 2005, p. 312). The boundary was slightly erected within the land of East Berlin to avoid trespassing on the West Berlin soil.

During its construction, it was under strict surveillance of the German combat troops who were authorized to shoot any emigrant that made desperate efforts to escape. Additionally, “chain fences, walls, minefields and other obstacles were installed along the length of East Germany’s western borders with the West Germany proper” (Dowty 2009, p. 345).

An extensive no man’s territory was also created to facilitate shooting of fleeing individuals. However, some citizens still used dubious mechanisms to move to other territories. For example, “East Germans successfully defected by a variety of methods: digging long passageways under the wall, waiting for favorable winds and sliding along aerial wires” (Thackeray 2004, p. 52).

The creation of the Berlin Wall had serious implications on the lives of the Germans both in the Eastern and Western Blocs. After the construction of the fence, several individuals that had crossed over to the Western Bloc were completely detached from their families. Berliners that lived in the East, but worked in the West were all rendered jobless because they could not cross the border.

With the erection of the wall, West Berlin was separated; thus, West Berliners staged massive strikes in demand for the flattening of the wall. The Allied forces that had vested interests in post war Germany also encouraged the creation of the wall because they felt that it would thwart the ambitions of Eastern Germany to gain control of the entire Berlin. The wall, therefore, quelled the simmering tension in Germany Blocs which was likely to end in a serious military confrontation.

“The East German government claimed that the Berlin Wall was an anti-fascist protective rampart intended to dissuade aggression from the West” (Wettig 2008, p.189). Eastern German officials also complained that subsidized goods were being smuggled out of the country by West Berliners. The Wall caused extreme anxiety and repression in East Berlin because people were quarantined in their territories; thus, making it impossible for them to transact business.

West Berliners faced the most difficult challenge of gaining access to East German. Between 1961 and 1963, West Berliners were totally banned from entering the East German territory. However, negotiations between the two governments in 1963 led to slight revision of the immigration codes in East Germany.

Thus, West Berliners could visit the country intermittently. An Individual that wanted to travel to East Germany had to seek a visa. “Citizens of other East European countries were generally subjected to the same prohibition of visiting Western countries as East Germans, though the applicable exception varied from country to country” (Pearson 2008, p.318). During the ban, it is estimated that approximately 5,000 individuals desperately tried to jump over the fence and some of them lost their lives.

In late 1989, East Germans increasingly got disillusioned by emigration restrictions. Hence, they staged protests in various parts of East Germany in demand for the flattening of the wall. Most of the individuals that participated in the Peaceful Revolution were willing to defect to the Western Bloc.

The strike worsened in November when the majority of East Germans protested against the Wall. These demonstrations compelled the leaders of East Germany to amend the border laws. One of the amendments that were passed in the late 1989 favored the pulling down of the wall. The tearing down of the wall begun in late 1989, but its official flattening started on 13 th June 1990. However, “the West Germans and West Berliners were allowed visa-free travel starting from 23 December 1989” (Turner 2010, p. 456).

The destruction of the wall sparked-off mixed reactions from foreign powers. Some European countries became very jittery when they learnt that the Germans were planning to come together. In September 1989, “British Prime Minister Margaret Thatcher pleaded with the Soviet president not to let the Berlin Wall fall” (Cate 2007, p. 178). Indeed, Britain was comfortable with the division and chaos in Germany because its reunion could cause the altering of the post war territorial demarcations.

They also felt that a unified Germany would destabilize international economy and possibly frustrate the post 1945 initiatives that were meant to restore international peace (Gaddis 2005, p. 249). The Germans saw the flattening of the wall as a great development that would guarantee them both economic and political prosperity which they had been yearning for over two decades.

Buckley, W 2004, The Fall of the Berlin Wall, Wiley, New York.

Cate, C 2007, The Ideas of August: The Berlin Wall Crisis—1961, M. Evans, New York.

Cherny, A 2009, The Candy Bombers: The Untold Story of the Berlin Airlift and America’s Finest Hour, Berkley Trade, Berkley.

Childs, D 2001, The Fall of the GDR, Longman, London.

Dale, G 2005, Popular Protest in East Germany, 1945–1989: Judgements on the Street, Routledge, Routledge.

Dowty, A 2009, Closed Borders: The Contemporary Assault on Freedom of Movement, Yale University Press, New York.

Gaddis, L 2005, The Cold War: A New History, Penguin Press, New York.

Harrison, M 2003, Driving the Soviets Up the Wall: Soviet-East German Relations, 1953–1961, Princenton University Press, New York.

Miller, R 2008, To Save a City: The Berlin Airlift, 1948-1949, Texas A&M University Press, Houston.

Morton, J & Adler, P 2010, American Experience: The Berlin Airlift, Wiley, New York.

Pearcy, A 2009, Berlin Airlift, Swan Hill Press, Berlin.

Pearson, R 2008, The Rise and Fall of the Soviet Empire, Wiley, Chicago.

Reeves, R 2011, Daring Young Men: The Heroism and Triumph of The Berlin Airlift-June 1948-May 1949, Simon & Schuster, Berlin.

Rose, B & Bailey, A 2004, The Lost Border: The Landscape of the Iron Curtain, Princeton Architectural Press, New York.

Thackeray, F 2004, Events that changed Germany, Greenwood Publishing Group, London.

Tilman, T 1990, The Writings on the Wall: Peace at the Berlin Wall, Prenctice Hall, Ohio.

Turner, A 2010, The Two Germanies Since 1945: East and West, Yale University Press, New York.

Tusa, J 2008, Berlin Airlift, Da Capo Press, Berlin.

Waters, R 1990, Wall: Live in Berlin 1990, Oxford University Press, London.

Wettig, G 2008, Stalin and the Cold War in Europe, Rowman & Littlefield, Berlin.

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IvyPanda. (2018, November 30). Berlin Wall's Importance for Germany. https://ivypanda.com/essays/berlin-wall/

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This chapter summarizes the discussions in the preceding chapters. It details the three phases of the process by which the German people came to support Hitler and the Nazi dictatorship: the first from his appointment in 1933 to 1938–9; the second ran from the outbreak of the war to the beginning of the invasion in 1944; and the final phase went from there to the end.

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German Essay Phrases: 24 Useful Expressions to Write an Essay in German

As we often think in English first, translating our ideas into useful German phrases can be tricky.

This handy blog post includes 24 essential German essay phrases to help make your writing flow more smoothly and sound more natural. Whether you’re preparing for the Goethe exam, a GCSE test, or just want to improve your written German for real-life situations, these chunks and phrases will help you. Easy German has a great video on useful German expression:

From organizing your thoughts with transitions like “ zudem ” and “ außerdem “, to expressing your opinion with phrases like “ meiner Meinung nach ” and “ ich denke, dass… “, this post has you covered.

Write an essay with German essay phrases: learn how to structure your story

Goethe tests love a clear and logical format. They follow the same structure throughout the different levels. The good news is, when you’re learning a language, you can use these German essay phrases with these structures even in your real-life dialogues. Then, gradually, you can shift your focus to a more natural-sounding speaking.

First, begin with an engaging introduction to get the reader’s attention. This intro paragraph should also include a short thesis statement that outlines the central argument you’ll be taking.

In the body of your essay, organize your thoughts into separate paragraphs. Use transitional phrases like “ außerdem ” (furthermore) and “ zudem ” (moreover) to connect your paragraphs and create a flow.

After that, summarize your main points and restate your thesis. But! Avoid introducing new information. Leave the reader with a compelling final thought or even a call to action that makes your central argument stronger.

If you’re not certain enough, check the following list and learn about the must-have go-to German essay phrases now!

1. Erstens – Firstly

This German essay phrase is used to introduce the first point in your essay.

Erstens werden wir die Hauptargumente diskutieren. [Firstly, we will discuss the main arguments.]

2. Zweitens – Secondly

Normally, this phrase is there for you when you want to introduce the second point in a structured manner.

Zweitens betrachten wir einige Gegenbeispiele. [Secondly, we will look at some counterexamples.]

3. Drittens – Thirdly

Used to signal the third point for clarity in your argument.

Drittens ziehen wir eine Schlussfolgerung. [Thirdly, we will draw a conclusion.]

4. Einleitend muss man sagen… – To begin with, one has to say…

Start your essay with this phrase to introduce your key points.

Einleitend muss man sagen, dass dieses Thema komplex ist. [To begin with, one has to say that this topic is complex.]

5. Man muss … in Betracht ziehen – One needs to take … into consideration

When you want to consider a specific aspect in your discussion.

Man muss den historischen Kontext in Betracht ziehen. [One needs to take the historical context into consideration.]

6. Ein wichtiger Aspekt von X ist … – An important aspect of X is …

To highlight an important part…

Ein wichtiger Aspekt von Nachhaltigkeit ist die Ressourcenschonung. [An important aspect of sustainability is resource conservation.]

7. Man muss erwähnen, dass… – One must mention that …

Used to emphasize a point that need acknowledgement.

Man muss erwähnen, dass es verschiedene Ansichten gibt. [One must mention that there are different viewpoints.]

8. Im Vergleich zu – In comparison to…

To compare different elements in your essay.

Im Vergleich zu konventionellen Autos sind Elektrofahrzeuge umweltfreundlicher. [In comparison to conventional cars, electric vehicles are more eco-friendly.]

9. Im Gegensatz zu – In contrast to…

When you want to present an alternative viewpoint or argument.

Im Gegensatz zu optimistischen Prognosen ist die Realität ernüchternd. [In contrast to optimistic forecasts, reality is sobering.]

10. Auf der einen Seite – On the one hand

To add a new perspective.

Auf der einen Seite gibt es finanzielle Vorteile. [On the one hand, there are financial benefits.]

11. Auf der anderen Seite – On the other hand

Present an alternative viewpoint.

Auf der anderen Seite bestehen ethische Bedenken. [On the other hand, ethical concerns exist.]

12. Gleichzeitig – At the same time

When you want to show a simultaneous relationship between ideas.

Gleichzeitig müssen wir Kompromisse eingehen. [At the same time, we must make compromises.]

13. Angeblich – Supposedly

If you want to add information that is claimed but not confirmed.

Angeblich wurde der Konflikt beigelegt. [Supposedly, the conflict was resolved.]

14. Vermutlich – Presumably

Used when discussing something that is presumed but not certain.

Vermutlich wird sich die Situation verbessern. [Presumably, the situation will improve.]

15. In der Tat – In fact

To add a fact or truth in your essay.

In der Tat sind die Herausforderungen groß. [In fact, the challenges are great.]

16. Tatsächlich – Indeed

Emphasize a point or a fact.

Tatsächlich haben wir Fortschritte gemacht. [Indeed, we have made progress.]

17. Im Allgemeinen – In general

When discussing something in a general context.

Im Allgemeinen ist das System reformbedürftig. [In general, the system needs reform.]

18. Möglicherweise – Possibly

Spice your essay with a possibility or potential scenario.

Möglicherweise finden wir einen Konsens. [Possibly, we will find a consensus.]

19. Eventuell – Possibly

To suggest a potential outcome or situation.

Eventuell müssen wir unsere Strategie überdenken. [Possibly, we need to rethink our strategy.]

20. In jedem Fall / Jedenfalls – In any case

Used to emphasize a point regardless of circumstances.

In jedem Fall müssen wir handeln. [In any case, we must take action.]

21. Das Wichtigste ist – The most important thing is

If you want to highlight the most important thing in your saying.

Das Wichtigste ist, dass wir zusammenarbeiten. [The most important thing is that we cooperate.]

22. Ohne Zweifel – Without a doubt

To introduce a statement that is unquestionably trues.

Ohne Zweifel ist Bildung der Schlüssel zum Erfolg. [Without a doubt, education is the key to success.]

23. Zweifellos – Doubtless

Just as the previous one, when you want say something that is, without a doubt, true.

Zweifellos gibt es noch viel zu tun. [Doubtless, there is still a lot to be done.]

24. Verständlicherweise – Understandably

If you want to add a thing that is understandable in the given context.

Verständlicherweise sind einige Menschen besorgt. [Understandably, some people are concerned.]

Practice the most important German essay phrases

Practice the German essay phrases now!

This is just part of the exercises. There’s many more waiting for you if you click the button below!

Learn the language and more German essay words and sentences with Conversation Based Chunking

Conversation Based Chunking represents a powerful approach to learning language skills. It’s especially useful for productive purposes like essay writing.

By learning phrases and expressions used in natural discourse, students internalize vocabulary and grammar in context rather than as isolated rules. This method helps you achieve fluency and helps you develop a ‘feel’ for a an authentic patterns.

Chunking common multi-word units accelerates progress by reducing cognitive load compared to consciously constructing each sentence from individual words. Sign up now to get access to your German Conversation Based Chunking Guide.

Lukas is the founder of Effortless Conversations and the creator of the Conversation Based Chunking™ method for learning languages. He's a linguist and wrote a popular book about learning languages through "chunks". He also co-founded the language education company Spring Languages, which creates online language courses and YouTube content.

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50 Useful German Essay Words and Phrases

by  fredo21  

January 9, 2019

2  Comments

Essay-writing is in itself already a difficult endeavor. Now writing an essay in a foreign language like German ---that’s on a different plane of difficulty.  

To make it easier for you, here in this article, we’ve compiled the most useful German essay phrases. Feel free to use these to add a dash of pizzazz into your essays. It will add just the right amount of flourish into your writing---enough to impress whoever comes across your work!

You can also download these phrases in PDF format by clicking the button below.

Now here’s your list!

What other German vocabulary list would you like to see featured here? Please feel free to leave a message in the comment section and we’ll try our best to accommodate your requests soon!

Once again, you can download your copy of the PDF by subscribing using the button below!

For an easier way to learn German vocabulary, check out German short stories for beginners!

A FUN AND EFFECTIVE WAY TO LEARN GERMAN

• 10 entertaining short stories about everyday themes
• Practice reading and listening with 90+ minutes of audio 
• Learn 1,000+ new German vocabulary effortlessly!

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Thank you for the good writeup. It in fact was a amusement account it. Look advanced to far added agreeable from you! By the way, how can we communicate?

Asking questions are genuinely good thing if you are not understanding anything completely, except this piece of writing provides nice understanding yet.

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• Published: 03 June 2024

Applying large language models for automated essay scoring for non-native Japanese

• Wenchao Li 1 &
• Haitao Liu 2  

Humanities and Social Sciences Communications volume  11 , Article number:  723 ( 2024 ) Cite this article

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Recent advancements in artificial intelligence (AI) have led to an increased use of large language models (LLMs) for language assessment tasks such as automated essay scoring (AES), automated listening tests, and automated oral proficiency assessments. The application of LLMs for AES in the context of non-native Japanese, however, remains limited. This study explores the potential of LLM-based AES by comparing the efficiency of different models, i.e. two conventional machine training technology-based methods (Jess and JWriter), two LLMs (GPT and BERT), and one Japanese local LLM (Open-Calm large model). To conduct the evaluation, a dataset consisting of 1400 story-writing scripts authored by learners with 12 different first languages was used. Statistical analysis revealed that GPT-4 outperforms Jess and JWriter, BERT, and the Japanese language-specific trained Open-Calm large model in terms of annotation accuracy and predicting learning levels. Furthermore, by comparing 18 different models that utilize various prompts, the study emphasized the significance of prompts in achieving accurate and reliable evaluations using LLMs.

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Conventional machine learning technology in aes.

AES has experienced significant growth with the advancement of machine learning technologies in recent decades. In the earlier stages of AES development, conventional machine learning-based approaches were commonly used. These approaches involved the following procedures: a) feeding the machine with a dataset. In this step, a dataset of essays is provided to the machine learning system. The dataset serves as the basis for training the model and establishing patterns and correlations between linguistic features and human ratings. b) the machine learning model is trained using linguistic features that best represent human ratings and can effectively discriminate learners’ writing proficiency. These features include lexical richness (Lu, 2012 ; Kyle and Crossley, 2015 ; Kyle et al. 2021 ), syntactic complexity (Lu, 2010 ; Liu, 2008 ), text cohesion (Crossley and McNamara, 2016 ), and among others. Conventional machine learning approaches in AES require human intervention, such as manual correction and annotation of essays. This human involvement was necessary to create a labeled dataset for training the model. Several AES systems have been developed using conventional machine learning technologies. These include the Intelligent Essay Assessor (Landauer et al. 2003 ), the e-rater engine by Educational Testing Service (Attali and Burstein, 2006 ; Burstein, 2003 ), MyAccess with the InterlliMetric scoring engine by Vantage Learning (Elliot, 2003 ), and the Bayesian Essay Test Scoring system (Rudner and Liang, 2002 ). These systems have played a significant role in automating the essay scoring process and providing quick and consistent feedback to learners. However, as touched upon earlier, conventional machine learning approaches rely on predetermined linguistic features and often require manual intervention, making them less flexible and potentially limiting their generalizability to different contexts.

In the context of the Japanese language, conventional machine learning-incorporated AES tools include Jess (Ishioka and Kameda, 2006 ) and JWriter (Lee and Hasebe, 2017 ). Jess assesses essays by deducting points from the perfect score, utilizing the Mainichi Daily News newspaper as a database. The evaluation criteria employed by Jess encompass various aspects, such as rhetorical elements (e.g., reading comprehension, vocabulary diversity, percentage of complex words, and percentage of passive sentences), organizational structures (e.g., forward and reverse connection structures), and content analysis (e.g., latent semantic indexing). JWriter employs linear regression analysis to assign weights to various measurement indices, such as average sentence length and total number of characters. These weights are then combined to derive the overall score. A pilot study involving the Jess model was conducted on 1320 essays at different proficiency levels, including primary, intermediate, and advanced. However, the results indicated that the Jess model failed to significantly distinguish between these essay levels. Out of the 16 measures used, four measures, namely median sentence length, median clause length, median number of phrases, and maximum number of phrases, did not show statistically significant differences between the levels. Additionally, two measures exhibited between-level differences but lacked linear progression: the number of attributives declined words and the Kanji/kana ratio. On the other hand, the remaining measures, including maximum sentence length, maximum clause length, number of attributive conjugated words, maximum number of consecutive infinitive forms, maximum number of conjunctive-particle clauses, k characteristic value, percentage of big words, and percentage of passive sentences, demonstrated statistically significant between-level differences and displayed linear progression.

Both Jess and JWriter exhibit notable limitations, including the manual selection of feature parameters and weights, which can introduce biases into the scoring process. The reliance on human annotators to label non-native language essays also introduces potential noise and variability in the scoring. Furthermore, an important concern is the possibility of system manipulation and cheating by learners who are aware of the regression equation utilized by the models (Hirao et al. 2020 ). These limitations emphasize the need for further advancements in AES systems to address these challenges.

Deep learning technology in AES

Deep learning has emerged as one of the approaches for improving the accuracy and effectiveness of AES. Deep learning-based AES methods utilize artificial neural networks that mimic the human brain’s functioning through layered algorithms and computational units. Unlike conventional machine learning, deep learning autonomously learns from the environment and past errors without human intervention. This enables deep learning models to establish nonlinear correlations, resulting in higher accuracy. Recent advancements in deep learning have led to the development of transformers, which are particularly effective in learning text representations. Noteworthy examples include bidirectional encoder representations from transformers (BERT) (Devlin et al. 2019 ) and the generative pretrained transformer (GPT) (OpenAI).

BERT is a linguistic representation model that utilizes a transformer architecture and is trained on two tasks: masked linguistic modeling and next-sentence prediction (Hirao et al. 2020 ; Vaswani et al. 2017 ). In the context of AES, BERT follows specific procedures, as illustrated in Fig. 1 : (a) the tokenized prompts and essays are taken as input; (b) special tokens, such as [CLS] and [SEP], are added to mark the beginning and separation of prompts and essays; (c) the transformer encoder processes the prompt and essay sequences, resulting in hidden layer sequences; (d) the hidden layers corresponding to the [CLS] tokens (T[CLS]) represent distributed representations of the prompts and essays; and (e) a multilayer perceptron uses these distributed representations as input to obtain the final score (Hirao et al. 2020 ).

AES system with BERT (Hirao et al. 2020 ).

The training of BERT using a substantial amount of sentence data through the Masked Language Model (MLM) allows it to capture contextual information within the hidden layers. Consequently, BERT is expected to be capable of identifying artificial essays as invalid and assigning them lower scores (Mizumoto and Eguchi, 2023 ). In the context of AES for nonnative Japanese learners, Hirao et al. ( 2020 ) combined the long short-term memory (LSTM) model proposed by Hochreiter and Schmidhuber ( 1997 ) with BERT to develop a tailored automated Essay Scoring System. The findings of their study revealed that the BERT model outperformed both the conventional machine learning approach utilizing character-type features such as “kanji” and “hiragana”, as well as the standalone LSTM model. Takeuchi et al. ( 2021 ) presented an approach to Japanese AES that eliminates the requirement for pre-scored essays by relying solely on reference texts or a model answer for the essay task. They investigated multiple similarity evaluation methods, including frequency of morphemes, idf values calculated on Wikipedia, LSI, LDA, word-embedding vectors, and document vectors produced by BERT. The experimental findings revealed that the method utilizing the frequency of morphemes with idf values exhibited the strongest correlation with human-annotated scores across different essay tasks. The utilization of BERT in AES encounters several limitations. Firstly, essays often exceed the model’s maximum length limit. Second, only score labels are available for training, which restricts access to additional information.

Mizumoto and Eguchi ( 2023 ) were pioneers in employing the GPT model for AES in non-native English writing. Their study focused on evaluating the accuracy and reliability of AES using the GPT-3 text-davinci-003 model, analyzing a dataset of 12,100 essays from the corpus of nonnative written English (TOEFL11). The findings indicated that AES utilizing the GPT-3 model exhibited a certain degree of accuracy and reliability. They suggest that GPT-3-based AES systems hold the potential to provide support for human ratings. However, applying GPT model to AES presents a unique natural language processing (NLP) task that involves considerations such as nonnative language proficiency, the influence of the learner’s first language on the output in the target language, and identifying linguistic features that best indicate writing quality in a specific language. These linguistic features may differ morphologically or syntactically from those present in the learners’ first language, as observed in (1)–(3).

我-送了-他-一本-书

Wǒ-sòngle-tā-yī běn-shū

1 sg .-give. past- him-one .cl- book

“I gave him a book.”

Agglutinative

彼-に-本-を-あげ-まし-た

Kare-ni-hon-o-age-mashi-ta

3 sg .- dat -hon- acc- give.honorification. past

Inflectional

give, give-s, gave, given, giving

Additionally, the morphological agglutination and subject-object-verb (SOV) order in Japanese, along with its idiomatic expressions, pose additional challenges for applying language models in AES tasks (4).

足-が 棒-に なり-ました

Ashi-ga bo-ni nar-mashita

leg- nom stick- dat become- past

“My leg became like a stick (I am extremely tired).”

The example sentence provided demonstrates the morpho-syntactic structure of Japanese and the presence of an idiomatic expression. In this sentence, the verb “なる” (naru), meaning “to become”, appears at the end of the sentence. The verb stem “なり” (nari) is attached with morphemes indicating honorification (“ます” - mashu) and tense (“た” - ta), showcasing agglutination. While the sentence can be literally translated as “my leg became like a stick”, it carries an idiomatic interpretation that implies “I am extremely tired”.

To overcome this issue, CyberAgent Inc. ( 2023 ) has developed the Open-Calm series of language models specifically designed for Japanese. Open-Calm consists of pre-trained models available in various sizes, such as Small, Medium, Large, and 7b. Figure 2 depicts the fundamental structure of the Open-Calm model. A key feature of this architecture is the incorporation of the Lora Adapter and GPT-NeoX frameworks, which can enhance its language processing capabilities.

GPT-NeoX Model Architecture (Okgetheng and Takeuchi 2024 ).

In a recent study conducted by Okgetheng and Takeuchi ( 2024 ), they assessed the efficacy of Open-Calm language models in grading Japanese essays. The research utilized a dataset of approximately 300 essays, which were annotated by native Japanese educators. The findings of the study demonstrate the considerable potential of Open-Calm language models in automated Japanese essay scoring. Specifically, among the Open-Calm family, the Open-Calm Large model (referred to as OCLL) exhibited the highest performance. However, it is important to note that, as of the current date, the Open-Calm Large model does not offer public access to its server. Consequently, users are required to independently deploy and operate the environment for OCLL. In order to utilize OCLL, users must have a PC equipped with an NVIDIA GeForce RTX 3060 (8 or 12 GB VRAM).

In summary, while the potential of LLMs in automated scoring of nonnative Japanese essays has been demonstrated in two studies—BERT-driven AES (Hirao et al. 2020 ) and OCLL-based AES (Okgetheng and Takeuchi, 2024 )—the number of research efforts in this area remains limited.

Another significant challenge in applying LLMs to AES lies in prompt engineering and ensuring its reliability and effectiveness (Brown et al. 2020 ; Rae et al. 2021 ; Zhang et al. 2021 ). Various prompting strategies have been proposed, such as the zero-shot chain of thought (CoT) approach (Kojima et al. 2022 ), which involves manually crafting diverse and effective examples. However, manual efforts can lead to mistakes. To address this, Zhang et al. ( 2021 ) introduced an automatic CoT prompting method called Auto-CoT, which demonstrates matching or superior performance compared to the CoT paradigm. Another prompt framework is trees of thoughts, enabling a model to self-evaluate its progress at intermediate stages of problem-solving through deliberate reasoning (Yao et al. 2023 ).

Beyond linguistic studies, there has been a noticeable increase in the number of foreign workers in Japan and Japanese learners worldwide (Ministry of Health, Labor, and Welfare of Japan, 2022 ; Japan Foundation, 2021 ). However, existing assessment methods, such as the Japanese Language Proficiency Test (JLPT), J-CAT, and TTBJ Footnote 1 , primarily focus on reading, listening, vocabulary, and grammar skills, neglecting the evaluation of writing proficiency. As the number of workers and language learners continues to grow, there is a rising demand for an efficient AES system that can reduce costs and time for raters and be utilized for employment, examinations, and self-study purposes.

This study aims to explore the potential of LLM-based AES by comparing the effectiveness of five models: two LLMs (GPT Footnote 2 and BERT), one Japanese local LLM (OCLL), and two conventional machine learning-based methods (linguistic feature-based scoring tools - Jess and JWriter).

The research questions addressed in this study are as follows:

To what extent do the LLM-driven AES and linguistic feature-based AES, when used as automated tools to support human rating, accurately reflect test takers’ actual performance?

What influence does the prompt have on the accuracy and performance of LLM-based AES methods?

The subsequent sections of the manuscript cover the methodology, including the assessment measures for nonnative Japanese writing proficiency, criteria for prompts, and the dataset. The evaluation section focuses on the analysis of annotations and rating scores generated by LLM-driven and linguistic feature-based AES methods.

Methodology

The dataset utilized in this study was obtained from the International Corpus of Japanese as a Second Language (I-JAS) Footnote 3 . This corpus consisted of 1000 participants who represented 12 different first languages. For the study, the participants were given a story-writing task on a personal computer. They were required to write two stories based on the 4-panel illustrations titled “Picnic” and “The key” (see Appendix A). Background information for the participants was provided by the corpus, including their Japanese language proficiency levels assessed through two online tests: J-CAT and SPOT. These tests evaluated their reading, listening, vocabulary, and grammar abilities. The learners’ proficiency levels were categorized into six levels aligned with the Common European Framework of Reference for Languages (CEFR) and the Reference Framework for Japanese Language Education (RFJLE): A1, A2, B1, B2, C1, and C2. According to Lee et al. ( 2015 ), there is a high level of agreement (r = 0.86) between the J-CAT and SPOT assessments, indicating that the proficiency certifications provided by J-CAT are consistent with those of SPOT. However, it is important to note that the scores of J-CAT and SPOT do not have a one-to-one correspondence. In this study, the J-CAT scores were used as a benchmark to differentiate learners of different proficiency levels. A total of 1400 essays were utilized, representing the beginner (aligned with A1), A2, B1, B2, C1, and C2 levels based on the J-CAT scores. Table 1 provides information about the learners’ proficiency levels and their corresponding J-CAT and SPOT scores.

A dataset comprising a total of 1400 essays from the story writing tasks was collected. Among these, 714 essays were utilized to evaluate the reliability of the LLM-based AES method, while the remaining 686 essays were designated as development data to assess the LLM-based AES’s capability to distinguish participants with varying proficiency levels. The GPT 4 API was used in this study. A detailed explanation of the prompt-assessment criteria is provided in Section Prompt . All essays were sent to the model for measurement and scoring.

Measures of writing proficiency for nonnative Japanese

Japanese exhibits a morphologically agglutinative structure where morphemes are attached to the word stem to convey grammatical functions such as tense, aspect, voice, and honorifics, e.g. (5).

食べ-させ-られ-まし-た-か

tabe-sase-rare-mashi-ta-ka

[eat (stem)-causative-passive voice-honorification-tense. past-question marker]

Japanese employs nine case particles to indicate grammatical functions: the nominative case particle が (ga), the accusative case particle を (o), the genitive case particle の (no), the dative case particle に (ni), the locative/instrumental case particle で (de), the ablative case particle から (kara), the directional case particle へ (e), and the comitative case particle と (to). The agglutinative nature of the language, combined with the case particle system, provides an efficient means of distinguishing between active and passive voice, either through morphemes or case particles, e.g. 食べる taberu “eat concusive . ” (active voice); 食べられる taberareru “eat concusive . ” (passive voice). In the active voice, “パン を 食べる” (pan o taberu) translates to “to eat bread”. On the other hand, in the passive voice, it becomes “パン が 食べられた” (pan ga taberareta), which means “(the) bread was eaten”. Additionally, it is important to note that different conjugations of the same lemma are considered as one type in order to ensure a comprehensive assessment of the language features. For example, e.g., 食べる taberu “eat concusive . ”; 食べている tabeteiru “eat progress .”; 食べた tabeta “eat past . ” as one type.

To incorporate these features, previous research (Suzuki, 1999 ; Watanabe et al. 1988 ; Ishioka, 2001 ; Ishioka and Kameda, 2006 ; Hirao et al. 2020 ) has identified complexity, fluency, and accuracy as crucial factors for evaluating writing quality. These criteria are assessed through various aspects, including lexical richness (lexical density, diversity, and sophistication), syntactic complexity, and cohesion (Kyle et al. 2021 ; Mizumoto and Eguchi, 2023 ; Ure, 1971 ; Halliday, 1985 ; Barkaoui and Hadidi, 2020 ; Zenker and Kyle, 2021 ; Kim et al. 2018 ; Lu, 2017 ; Ortega, 2015 ). Therefore, this study proposes five scoring categories: lexical richness, syntactic complexity, cohesion, content elaboration, and grammatical accuracy. A total of 16 measures were employed to capture these categories. The calculation process and specific details of these measures can be found in Table 2 .

T-unit, first introduced by Hunt ( 1966 ), is a measure used for evaluating speech and composition. It serves as an indicator of syntactic development and represents the shortest units into which a piece of discourse can be divided without leaving any sentence fragments. In the context of Japanese language assessment, Sakoda and Hosoi ( 2020 ) utilized T-unit as the basic unit to assess the accuracy and complexity of Japanese learners’ speaking and storytelling. The calculation of T-units in Japanese follows the following principles:

A single main clause constitutes 1 T-unit, regardless of the presence or absence of dependent clauses, e.g. (6).

ケンとマリはピクニックに行きました (main clause): 1 T-unit.

If a sentence contains a main clause along with subclauses, each subclause is considered part of the same T-unit, e.g. (7).

天気が良かった の で (subclause)、ケンとマリはピクニックに行きました (main clause): 1 T-unit.

In the case of coordinate clauses, where multiple clauses are connected, each coordinated clause is counted separately. Thus, a sentence with coordinate clauses may have 2 T-units or more, e.g. (8).

ケンは地図で場所を探して (coordinate clause)、マリはサンドイッチを作りました (coordinate clause): 2 T-units.

Lexical diversity refers to the range of words used within a text (Engber, 1995 ; Kyle et al. 2021 ) and is considered a useful measure of the breadth of vocabulary in L n production (Jarvis, 2013a , 2013b ).

The type/token ratio (TTR) is widely recognized as a straightforward measure for calculating lexical diversity and has been employed in numerous studies. These studies have demonstrated a strong correlation between TTR and other methods of measuring lexical diversity (e.g., Bentz et al. 2016 ; Čech and Miroslav, 2018 ; Çöltekin and Taraka, 2018 ). TTR is computed by considering both the number of unique words (types) and the total number of words (tokens) in a given text. Given that the length of learners’ writing texts can vary, this study employs the moving average type-token ratio (MATTR) to mitigate the influence of text length. MATTR is calculated using a 50-word moving window. Initially, a TTR is determined for words 1–50 in an essay, followed by words 2–51, 3–52, and so on until the end of the essay is reached (Díez-Ortega and Kyle, 2023 ). The final MATTR scores were obtained by averaging the TTR scores for all 50-word windows. The following formula was employed to derive MATTR:

\({\rm{MATTR}}({\rm{W}})=\frac{{\sum }_{{\rm{i}}=1}^{{\rm{N}}-{\rm{W}}+1}{{\rm{F}}}_{{\rm{i}}}}{{\rm{W}}({\rm{N}}-{\rm{W}}+1)}\)

Here, N refers to the number of tokens in the corpus. W is the randomly selected token size (W < N). \({F}_{i}\) is the number of types in each window. The \({\rm{MATTR}}({\rm{W}})\) is the mean of a series of type-token ratios (TTRs) based on the word form for all windows. It is expected that individuals with higher language proficiency will produce texts with greater lexical diversity, as indicated by higher MATTR scores.

Lexical density was captured by the ratio of the number of lexical words to the total number of words (Lu, 2012 ). Lexical sophistication refers to the utilization of advanced vocabulary, often evaluated through word frequency indices (Crossley et al. 2013 ; Haberman, 2008 ; Kyle and Crossley, 2015 ; Laufer and Nation, 1995 ; Lu, 2012 ; Read, 2000 ). In line of writing, lexical sophistication can be interpreted as vocabulary breadth, which entails the appropriate usage of vocabulary items across various lexicon-grammatical contexts and registers (Garner et al. 2019 ; Kim et al. 2018 ; Kyle et al. 2018 ). In Japanese specifically, words are considered lexically sophisticated if they are not included in the “Japanese Education Vocabulary List Ver 1.0”. Footnote 4 Consequently, lexical sophistication was calculated by determining the number of sophisticated word types relative to the total number of words per essay. Furthermore, it has been suggested that, in Japanese writing, sentences should ideally have a length of no more than 40 to 50 characters, as this promotes readability. Therefore, the median and maximum sentence length can be considered as useful indices for assessment (Ishioka and Kameda, 2006 ).

Syntactic complexity was assessed based on several measures, including the mean length of clauses, verb phrases per T-unit, clauses per T-unit, dependent clauses per T-unit, complex nominals per clause, adverbial clauses per clause, coordinate phrases per clause, and mean dependency distance (MDD). The MDD reflects the distance between the governor and dependent positions in a sentence. A larger dependency distance indicates a higher cognitive load and greater complexity in syntactic processing (Liu, 2008 ; Liu et al. 2017 ). The MDD has been established as an efficient metric for measuring syntactic complexity (Jiang, Quyang, and Liu, 2019 ; Li and Yan, 2021 ). To calculate the MDD, the position numbers of the governor and dependent are subtracted, assuming that words in a sentence are assigned in a linear order, such as W1 … Wi … Wn. In any dependency relationship between words Wa and Wb, Wa is the governor and Wb is the dependent. The MDD of the entire sentence was obtained by taking the absolute value of governor – dependent:

MDD = \(\frac{1}{n}{\sum }_{i=1}^{n}|{\rm{D}}{{\rm{D}}}_{i}|\)

In this formula, \(n\) represents the number of words in the sentence, and \({DD}i\) is the dependency distance of the \({i}^{{th}}\) dependency relationship of a sentence. Building on this, the annotation of sentence ‘Mary-ga-John-ni-keshigomu-o-watashita was [Mary- top -John- dat -eraser- acc -give- past] ’. The sentence’s MDD would be 2. Table 3 provides the CSV file as a prompt for GPT 4.

Cohesion (semantic similarity) and content elaboration aim to capture the ideas presented in test taker’s essays. Cohesion was assessed using three measures: Synonym overlap/paragraph (topic), Synonym overlap/paragraph (keywords), and word2vec cosine similarity. Content elaboration and development were measured as the number of metadiscourse markers (type)/number of words. To capture content closely, this study proposed a novel-distance based representation, by encoding the cosine distance between the essay (by learner) and essay task’s (topic and keyword) i -vectors. The learner’s essay is decoded into a word sequence, and aligned to the essay task’ topic and keyword for log-likelihood measurement. The cosine distance reveals the content elaboration score in the leaners’ essay. The mathematical equation of cosine similarity between target-reference vectors is shown in (11), assuming there are i essays and ( L i , …. L n ) and ( N i , …. N n ) are the vectors representing the learner and task’s topic and keyword respectively. The content elaboration distance between L i and N i was calculated as follows:

\(\cos \left(\theta \right)=\frac{{\rm{L}}\,\cdot\, {\rm{N}}}{\left|{\rm{L}}\right|{\rm{|N|}}}=\frac{\mathop{\sum }\nolimits_{i=1}^{n}{L}_{i}{N}_{i}}{\sqrt{\mathop{\sum }\nolimits_{i=1}^{n}{L}_{i}^{2}}\sqrt{\mathop{\sum }\nolimits_{i=1}^{n}{N}_{i}^{2}}}\)

A high similarity value indicates a low difference between the two recognition outcomes, which in turn suggests a high level of proficiency in content elaboration.

To evaluate the effectiveness of the proposed measures in distinguishing different proficiency levels among nonnative Japanese speakers’ writing, we conducted a multi-faceted Rasch measurement analysis (Linacre, 1994 ). This approach applies measurement models to thoroughly analyze various factors that can influence test outcomes, including test takers’ proficiency, item difficulty, and rater severity, among others. The underlying principles and functionality of multi-faceted Rasch measurement are illustrated in (12).

\(\log \left(\frac{{P}_{{nijk}}}{{P}_{{nij}(k-1)}}\right)={B}_{n}-{D}_{i}-{C}_{j}-{F}_{k}\)

(12) defines the logarithmic transformation of the probability ratio ( P nijk /P nij(k-1) )) as a function of multiple parameters. Here, n represents the test taker, i denotes a writing proficiency measure, j corresponds to the human rater, and k represents the proficiency score. The parameter B n signifies the proficiency level of test taker n (where n ranges from 1 to N). D j represents the difficulty parameter of test item i (where i ranges from 1 to L), while C j represents the severity of rater j (where j ranges from 1 to J). Additionally, F k represents the step difficulty for a test taker to move from score ‘k-1’ to k . P nijk refers to the probability of rater j assigning score k to test taker n for test item i . P nij(k-1) represents the likelihood of test taker n being assigned score ‘k-1’ by rater j for test item i . Each facet within the test is treated as an independent parameter and estimated within the same reference framework. To evaluate the consistency of scores obtained through both human and computer analysis, we utilized the Infit mean-square statistic. This statistic is a chi-square measure divided by the degrees of freedom and is weighted with information. It demonstrates higher sensitivity to unexpected patterns in responses to items near a person’s proficiency level (Linacre, 2002 ). Fit statistics are assessed based on predefined thresholds for acceptable fit. For the Infit MNSQ, which has a mean of 1.00, different thresholds have been suggested. Some propose stricter thresholds ranging from 0.7 to 1.3 (Bond et al. 2021 ), while others suggest more lenient thresholds ranging from 0.5 to 1.5 (Eckes, 2009 ). In this study, we adopted the criterion of 0.70–1.30 for the Infit MNSQ.

Moving forward, we can now proceed to assess the effectiveness of the 16 proposed measures based on five criteria for accurately distinguishing various levels of writing proficiency among non-native Japanese speakers. To conduct this evaluation, we utilized the development dataset from the I-JAS corpus, as described in Section Dataset . Table 4 provides a measurement report that presents the performance details of the 14 metrics under consideration. The measure separation was found to be 4.02, indicating a clear differentiation among the measures. The reliability index for the measure separation was 0.891, suggesting consistency in the measurement. Similarly, the person separation reliability index was 0.802, indicating the accuracy of the assessment in distinguishing between individuals. All 16 measures demonstrated Infit mean squares within a reasonable range, ranging from 0.76 to 1.28. The Synonym overlap/paragraph (topic) measure exhibited a relatively high outfit mean square of 1.46, although the Infit mean square falls within an acceptable range. The standard error for the measures ranged from 0.13 to 0.28, indicating the precision of the estimates.

Table 5 further illustrated the weights assigned to different linguistic measures for score prediction, with higher weights indicating stronger correlations between those measures and higher scores. Specifically, the following measures exhibited higher weights compared to others: moving average type token ratio per essay has a weight of 0.0391. Mean dependency distance had a weight of 0.0388. Mean length of clause, calculated by dividing the number of words by the number of clauses, had a weight of 0.0374. Complex nominals per T-unit, calculated by dividing the number of complex nominals by the number of T-units, had a weight of 0.0379. Coordinate phrases rate, calculated by dividing the number of coordinate phrases by the number of clauses, had a weight of 0.0325. Grammatical error rate, representing the number of errors per essay, had a weight of 0.0322.

Criteria (output indicator)

The criteria used to evaluate the writing ability in this study were based on CEFR, which follows a six-point scale ranging from A1 to C2. To assess the quality of Japanese writing, the scoring criteria from Table 6 were utilized. These criteria were derived from the IELTS writing standards and served as assessment guidelines and prompts for the written output.

A prompt is a question or detailed instruction that is provided to the model to obtain a proper response. After several pilot experiments, we decided to provide the measures (Section Measures of writing proficiency for nonnative Japanese ) as the input prompt and use the criteria (Section Criteria (output indicator) ) as the output indicator. Regarding the prompt language, considering that the LLM was tasked with rating Japanese essays, would prompt in Japanese works better Footnote 5 ? We conducted experiments comparing the performance of GPT-4 using both English and Japanese prompts. Additionally, we utilized the Japanese local model OCLL with Japanese prompts. Multiple trials were conducted using the same sample. Regardless of the prompt language used, we consistently obtained the same grading results with GPT-4, which assigned a grade of B1 to the writing sample. This suggested that GPT-4 is reliable and capable of producing consistent ratings regardless of the prompt language. On the other hand, when we used Japanese prompts with the Japanese local model “OCLL”, we encountered inconsistent grading results. Out of 10 attempts with OCLL, only 6 yielded consistent grading results (B1), while the remaining 4 showed different outcomes, including A1 and B2 grades. These findings indicated that the language of the prompt was not the determining factor for reliable AES. Instead, the size of the training data and the model parameters played crucial roles in achieving consistent and reliable AES results for the language model.

The following is the utilized prompt, which details all measures and requires the LLM to score the essays using holistic and trait scores.

Please evaluate Japanese essays written by Japanese learners and assign a score to each essay on a six-point scale, ranging from A1, A2, B1, B2, C1 to C2. Additionally, please provide trait scores and display the calculation process for each trait score. The scoring should be based on the following criteria:

Moving average type-token ratio.

Number of lexical words (token) divided by the total number of words per essay.

Number of sophisticated word types divided by the total number of words per essay.

Mean length of clause.

Verb phrases per T-unit.

Clauses per T-unit.

Dependent clauses per T-unit.

Complex nominals per clause.

Adverbial clauses per clause.

Coordinate phrases per clause.

Mean dependency distance.

Synonym overlap paragraph (topic and keywords).

Word2vec cosine similarity.

Connectives per essay.

Conjunctions per essay.

Number of metadiscourse markers (types) divided by the total number of words.

Number of errors per essay.

Japanese essay text

出かける前に二人が地図を見ている間に、サンドイッチを入れたバスケットに犬が入ってしまいました。それに気づかずに二人は楽しそうに出かけて行きました。やがて突然犬がバスケットから飛び出し、二人は驚きました。バスケット の 中を見ると、食べ物はすべて犬に食べられていて、二人は困ってしまいました。(ID_JJJ01_SW1)

The score of the example above was B1. Figure 3 provides an example of holistic and trait scores provided by GPT-4 (with a prompt indicating all measures) via Bing Footnote 6 .

Example of GPT-4 AES and feedback (with a prompt indicating all measures).

Statistical analysis

The aim of this study is to investigate the potential use of LLM for nonnative Japanese AES. It seeks to compare the scoring outcomes obtained from feature-based AES tools, which rely on conventional machine learning technology (i.e. Jess, JWriter), with those generated by AI-driven AES tools utilizing deep learning technology (BERT, GPT, OCLL). To assess the reliability of a computer-assisted annotation tool, the study initially established human-human agreement as the benchmark measure. Subsequently, the performance of the LLM-based method was evaluated by comparing it to human-human agreement.

To assess annotation agreement, the study employed standard measures such as precision, recall, and F-score (Brants 2000 ; Lu 2010 ), along with the quadratically weighted kappa (QWK) to evaluate the consistency and agreement in the annotation process. Assume A and B represent human annotators. When comparing the annotations of the two annotators, the following results are obtained. The evaluation of precision, recall, and F-score metrics was illustrated in equations (13) to (15).

\({\rm{Recall}}(A,B)=\frac{{\rm{Number}}\,{\rm{of}}\,{\rm{identical}}\,{\rm{nodes}}\,{\rm{in}}\,A\,{\rm{and}}\,B}{{\rm{Number}}\,{\rm{of}}\,{\rm{nodes}}\,{\rm{in}}\,A}\)

\({\rm{Precision}}(A,\,B)=\frac{{\rm{Number}}\,{\rm{of}}\,{\rm{identical}}\,{\rm{nodes}}\,{\rm{in}}\,A\,{\rm{and}}\,B}{{\rm{Number}}\,{\rm{of}}\,{\rm{nodes}}\,{\rm{in}}\,B}\)

The F-score is the harmonic mean of recall and precision:

\({\rm{F}}-{\rm{score}}=\frac{2* ({\rm{Precision}}* {\rm{Recall}})}{{\rm{Precision}}+{\rm{Recall}}}\)

The highest possible value of an F-score is 1.0, indicating perfect precision and recall, and the lowest possible value is 0, if either precision or recall are zero.

In accordance with Taghipour and Ng ( 2016 ), the calculation of QWK involves two steps:

Step 1: Construct a weight matrix W as follows:

\({W}_{{ij}}=\frac{{(i-j)}^{2}}{{(N-1)}^{2}}\)

i represents the annotation made by the tool, while j represents the annotation made by a human rater. N denotes the total number of possible annotations. Matrix O is subsequently computed, where O_( i, j ) represents the count of data annotated by the tool ( i ) and the human annotator ( j ). On the other hand, E refers to the expected count matrix, which undergoes normalization to ensure that the sum of elements in E matches the sum of elements in O.

Step 2: With matrices O and E, the QWK is obtained as follows:

K = 1- \(\frac{\sum i,j{W}_{i,j}\,{O}_{i,j}}{\sum i,j{W}_{i,j}\,{E}_{i,j}}\)

The value of the quadratic weighted kappa increases as the level of agreement improves. Further, to assess the accuracy of LLM scoring, the proportional reductive mean square error (PRMSE) was employed. The PRMSE approach takes into account the variability observed in human ratings to estimate the rater error, which is then subtracted from the variance of the human labels. This calculation provides an overall measure of agreement between the automated scores and true scores (Haberman et al. 2015 ; Loukina et al. 2020 ; Taghipour and Ng, 2016 ). The computation of PRMSE involves the following steps:

Step 1: Calculate the mean squared errors (MSEs) for the scoring outcomes of the computer-assisted tool (MSE tool) and the human scoring outcomes (MSE human).

Step 2: Determine the PRMSE by comparing the MSE of the computer-assisted tool (MSE tool) with the MSE from human raters (MSE human), using the following formula:

\({\rm{PRMSE}}=1-\frac{({\rm{MSE}}\,{\rm{tool}})\,}{({\rm{MSE}}\,{\rm{human}})\,}=1-\,\frac{{\sum }_{i}^{n}=1{({{\rm{y}}}_{i}-{\hat{{\rm{y}}}}_{{\rm{i}}})}^{2}}{{\sum }_{i}^{n}=1{({{\rm{y}}}_{i}-\hat{{\rm{y}}})}^{2}}\)

In the numerator, ŷi represents the scoring outcome predicted by a specific LLM-driven AES system for a given sample. The term y i − ŷ i represents the difference between this predicted outcome and the mean value of all LLM-driven AES systems’ scoring outcomes. It quantifies the deviation of the specific LLM-driven AES system’s prediction from the average prediction of all LLM-driven AES systems. In the denominator, y i − ŷ represents the difference between the scoring outcome provided by a specific human rater for a given sample and the mean value of all human raters’ scoring outcomes. It measures the discrepancy between the specific human rater’s score and the average score given by all human raters. The PRMSE is then calculated by subtracting the ratio of the MSE tool to the MSE human from 1. PRMSE falls within the range of 0 to 1, with larger values indicating reduced errors in LLM’s scoring compared to those of human raters. In other words, a higher PRMSE implies that LLM’s scoring demonstrates greater accuracy in predicting the true scores (Loukina et al. 2020 ). The interpretation of kappa values, ranging from 0 to 1, is based on the work of Landis and Koch ( 1977 ). Specifically, the following categories are assigned to different ranges of kappa values: −1 indicates complete inconsistency, 0 indicates random agreement, 0.0 ~ 0.20 indicates extremely low level of agreement (slight), 0.21 ~ 0.40 indicates moderate level of agreement (fair), 0.41 ~ 0.60 indicates medium level of agreement (moderate), 0.61 ~ 0.80 indicates high level of agreement (substantial), 0.81 ~ 1 indicates almost perfect level of agreement. All statistical analyses were executed using Python script.

Results and discussion

Annotation reliability of the llm.

This section focuses on assessing the reliability of the LLM’s annotation and scoring capabilities. To evaluate the reliability, several tests were conducted simultaneously, aiming to achieve the following objectives:

Assess the LLM’s ability to differentiate between test takers with varying levels of oral proficiency.

Determine the level of agreement between the annotations and scoring performed by the LLM and those done by human raters.

The evaluation of the results encompassed several metrics, including: precision, recall, F-Score, quadratically-weighted kappa, proportional reduction of mean squared error, Pearson correlation, and multi-faceted Rasch measurement.

Inter-annotator agreement (human–human annotator agreement)

We started with an agreement test of the two human annotators. Two trained annotators were recruited to determine the writing task data measures. A total of 714 scripts, as the test data, was utilized. Each analysis lasted 300–360 min. Inter-annotator agreement was evaluated using the standard measures of precision, recall, and F-score and QWK. Table 7 presents the inter-annotator agreement for the various indicators. As shown, the inter-annotator agreement was fairly high, with F-scores ranging from 1.0 for sentence and word number to 0.666 for grammatical errors.

The findings from the QWK analysis provided further confirmation of the inter-annotator agreement. The QWK values covered a range from 0.950 ( p  = 0.000) for sentence and word number to 0.695 for synonym overlap number (keyword) and grammatical errors ( p  = 0.001).

Agreement of annotation outcomes between human and LLM

To evaluate the consistency between human annotators and LLM annotators (BERT, GPT, OCLL) across the indices, the same test was conducted. The results of the inter-annotator agreement (F-score) between LLM and human annotation are provided in Appendix B-D. The F-scores ranged from 0.706 for Grammatical error # for OCLL-human to a perfect 1.000 for GPT-human, for sentences, clauses, T-units, and words. These findings were further supported by the QWK analysis, which showed agreement levels ranging from 0.807 ( p  = 0.001) for metadiscourse markers for OCLL-human to 0.962 for words ( p  = 0.000) for GPT-human. The findings demonstrated that the LLM annotation achieved a significant level of accuracy in identifying measurement units and counts.

Reliability of LLM-driven AES’s scoring and discriminating proficiency levels

This section examines the reliability of the LLM-driven AES scoring through a comparison of the scoring outcomes produced by human raters and the LLM ( Reliability of LLM-driven AES scoring ). It also assesses the effectiveness of the LLM-based AES system in differentiating participants with varying proficiency levels ( Reliability of LLM-driven AES discriminating proficiency levels ).

Reliability of LLM-driven AES scoring

Table 8 summarizes the QWK coefficient analysis between the scores computed by the human raters and the GPT-4 for the individual essays from I-JAS Footnote 7 . As shown, the QWK of all measures ranged from k  = 0.819 for lexical density (number of lexical words (tokens)/number of words per essay) to k  = 0.644 for word2vec cosine similarity. Table 9 further presents the Pearson correlations between the 16 writing proficiency measures scored by human raters and GPT 4 for the individual essays. The correlations ranged from 0.672 for syntactic complexity to 0.734 for grammatical accuracy. The correlations between the writing proficiency scores assigned by human raters and the BERT-based AES system were found to range from 0.661 for syntactic complexity to 0.713 for grammatical accuracy. The correlations between the writing proficiency scores given by human raters and the OCLL-based AES system ranged from 0.654 for cohesion to 0.721 for grammatical accuracy. These findings indicated an alignment between the assessments made by human raters and both the BERT-based and OCLL-based AES systems in terms of various aspects of writing proficiency.

Reliability of LLM-driven AES discriminating proficiency levels

After validating the reliability of the LLM’s annotation and scoring, the subsequent objective was to evaluate its ability to distinguish between various proficiency levels. For this analysis, a dataset of 686 individual essays was utilized. Table 10 presents a sample of the results, summarizing the means, standard deviations, and the outcomes of the one-way ANOVAs based on the measures assessed by the GPT-4 model. A post hoc multiple comparison test, specifically the Bonferroni test, was conducted to identify any potential differences between pairs of levels.

As the results reveal, seven measures presented linear upward or downward progress across the three proficiency levels. These were marked in bold in Table 10 and comprise one measure of lexical richness, i.e. MATTR (lexical diversity); four measures of syntactic complexity, i.e. MDD (mean dependency distance), MLC (mean length of clause), CNT (complex nominals per T-unit), CPC (coordinate phrases rate); one cohesion measure, i.e. word2vec cosine similarity and GER (grammatical error rate). Regarding the ability of the sixteen measures to distinguish adjacent proficiency levels, the Bonferroni tests indicated that statistically significant differences exist between the primary level and the intermediate level for MLC and GER. One measure of lexical richness, namely LD, along with three measures of syntactic complexity (VPT, CT, DCT, ACC), two measures of cohesion (SOPT, SOPK), and one measure of content elaboration (IMM), exhibited statistically significant differences between proficiency levels. However, these differences did not demonstrate a linear progression between adjacent proficiency levels. No significant difference was observed in lexical sophistication between proficiency levels.

To summarize, our study aimed to evaluate the reliability and differentiation capabilities of the LLM-driven AES method. For the first objective, we assessed the LLM’s ability to differentiate between test takers with varying levels of oral proficiency using precision, recall, F-Score, and quadratically-weighted kappa. Regarding the second objective, we compared the scoring outcomes generated by human raters and the LLM to determine the level of agreement. We employed quadratically-weighted kappa and Pearson correlations to compare the 16 writing proficiency measures for the individual essays. The results confirmed the feasibility of using the LLM for annotation and scoring in AES for nonnative Japanese. As a result, Research Question 1 has been addressed.

Comparison of BERT-, GPT-, OCLL-based AES, and linguistic-feature-based computation methods

This section aims to compare the effectiveness of five AES methods for nonnative Japanese writing, i.e. LLM-driven approaches utilizing BERT, GPT, and OCLL, linguistic feature-based approaches using Jess and JWriter. The comparison was conducted by comparing the ratings obtained from each approach with human ratings. All ratings were derived from the dataset introduced in Dataset . To facilitate the comparison, the agreement between the automated methods and human ratings was assessed using QWK and PRMSE. The performance of each approach was summarized in Table 11 .

The QWK coefficient values indicate that LLMs (GPT, BERT, OCLL) and human rating outcomes demonstrated higher agreement compared to feature-based AES methods (Jess and JWriter) in assessing writing proficiency criteria, including lexical richness, syntactic complexity, content, and grammatical accuracy. Among the LLMs, the GPT-4 driven AES and human rating outcomes showed the highest agreement in all criteria, except for syntactic complexity. The PRMSE values suggest that the GPT-based method outperformed linguistic feature-based methods and other LLM-based approaches. Moreover, an interesting finding emerged during the study: the agreement coefficient between GPT-4 and human scoring was even higher than the agreement between different human raters themselves. This discovery highlights the advantage of GPT-based AES over human rating. Ratings involve a series of processes, including reading the learners’ writing, evaluating the content and language, and assigning scores. Within this chain of processes, various biases can be introduced, stemming from factors such as rater biases, test design, and rating scales. These biases can impact the consistency and objectivity of human ratings. GPT-based AES may benefit from its ability to apply consistent and objective evaluation criteria. By prompting the GPT model with detailed writing scoring rubrics and linguistic features, potential biases in human ratings can be mitigated. The model follows a predefined set of guidelines and does not possess the same subjective biases that human raters may exhibit. This standardization in the evaluation process contributes to the higher agreement observed between GPT-4 and human scoring. Section Prompt strategy of the study delves further into the role of prompts in the application of LLMs to AES. It explores how the choice and implementation of prompts can impact the performance and reliability of LLM-based AES methods. Furthermore, it is important to acknowledge the strengths of the local model, i.e. the Japanese local model OCLL, which excels in processing certain idiomatic expressions. Nevertheless, our analysis indicated that GPT-4 surpasses local models in AES. This superior performance can be attributed to the larger parameter size of GPT-4, estimated to be between 500 billion and 1 trillion, which exceeds the sizes of both BERT and the local model OCLL.

Prompt strategy

In the context of prompt strategy, Mizumoto and Eguchi ( 2023 ) conducted a study where they applied the GPT-3 model to automatically score English essays in the TOEFL test. They found that the accuracy of the GPT model alone was moderate to fair. However, when they incorporated linguistic measures such as cohesion, syntactic complexity, and lexical features alongside the GPT model, the accuracy significantly improved. This highlights the importance of prompt engineering and providing the model with specific instructions to enhance its performance. In this study, a similar approach was taken to optimize the performance of LLMs. GPT-4, which outperformed BERT and OCLL, was selected as the candidate model. Model 1 was used as the baseline, representing GPT-4 without any additional prompting. Model 2, on the other hand, involved GPT-4 prompted with 16 measures that included scoring criteria, efficient linguistic features for writing assessment, and detailed measurement units and calculation formulas. The remaining models (Models 3 to 18) utilized GPT-4 prompted with individual measures. The performance of these 18 different models was assessed using the output indicators described in Section Criteria (output indicator) . By comparing the performances of these models, the study aimed to understand the impact of prompt engineering on the accuracy and effectiveness of GPT-4 in AES tasks.

Based on the PRMSE scores presented in Fig. 4 , it was observed that Model 1, representing GPT-4 without any additional prompting, achieved a fair level of performance. However, Model 2, which utilized GPT-4 prompted with all measures, outperformed all other models in terms of PRMSE score, achieving a score of 0.681. These results indicate that the inclusion of specific measures and prompts significantly enhanced the performance of GPT-4 in AES. Among the measures, syntactic complexity was found to play a particularly significant role in improving the accuracy of GPT-4 in assessing writing quality. Following that, lexical diversity emerged as another important factor contributing to the model’s effectiveness. The study suggests that a well-prompted GPT-4 can serve as a valuable tool to support human assessors in evaluating writing quality. By utilizing GPT-4 as an automated scoring tool, the evaluation biases associated with human raters can be minimized. This has the potential to empower teachers by allowing them to focus on designing writing tasks and guiding writing strategies, while leveraging the capabilities of GPT-4 for efficient and reliable scoring.

PRMSE scores of the 18 AES models.

This study aimed to investigate two main research questions: the feasibility of utilizing LLMs for AES and the impact of prompt engineering on the application of LLMs in AES.

To address the first objective, the study compared the effectiveness of five different models: GPT, BERT, the Japanese local LLM (OCLL), and two conventional machine learning-based AES tools (Jess and JWriter). The PRMSE values indicated that the GPT-4-based method outperformed other LLMs (BERT, OCLL) and linguistic feature-based computational methods (Jess and JWriter) across various writing proficiency criteria. Furthermore, the agreement coefficient between GPT-4 and human scoring surpassed the agreement among human raters themselves, highlighting the potential of using the GPT-4 tool to enhance AES by reducing biases and subjectivity, saving time, labor, and cost, and providing valuable feedback for self-study. Regarding the second goal, the role of prompt design was investigated by comparing 18 models, including a baseline model, a model prompted with all measures, and 16 models prompted with one measure at a time. GPT-4, which outperformed BERT and OCLL, was selected as the candidate model. The PRMSE scores of the models showed that GPT-4 prompted with all measures achieved the best performance, surpassing the baseline and other models.

In conclusion, this study has demonstrated the potential of LLMs in supporting human rating in assessments. By incorporating automation, we can save time and resources while reducing biases and subjectivity inherent in human rating processes. Automated language assessments offer the advantage of accessibility, providing equal opportunities and economic feasibility for individuals who lack access to traditional assessment centers or necessary resources. LLM-based language assessments provide valuable feedback and support to learners, aiding in the enhancement of their language proficiency and the achievement of their goals. This personalized feedback can cater to individual learner needs, facilitating a more tailored and effective language-learning experience.

There are three important areas that merit further exploration. First, prompt engineering requires attention to ensure optimal performance of LLM-based AES across different language types. This study revealed that GPT-4, when prompted with all measures, outperformed models prompted with fewer measures. Therefore, investigating and refining prompt strategies can enhance the effectiveness of LLMs in automated language assessments. Second, it is crucial to explore the application of LLMs in second-language assessment and learning for oral proficiency, as well as their potential in under-resourced languages. Recent advancements in self-supervised machine learning techniques have significantly improved automatic speech recognition (ASR) systems, opening up new possibilities for creating reliable ASR systems, particularly for under-resourced languages with limited data. However, challenges persist in the field of ASR. First, ASR assumes correct word pronunciation for automatic pronunciation evaluation, which proves challenging for learners in the early stages of language acquisition due to diverse accents influenced by their native languages. Accurately segmenting short words becomes problematic in such cases. Second, developing precise audio-text transcriptions for languages with non-native accented speech poses a formidable task. Last, assessing oral proficiency levels involves capturing various linguistic features, including fluency, pronunciation, accuracy, and complexity, which are not easily captured by current NLP technology.

Data availability

The dataset utilized was obtained from the International Corpus of Japanese as a Second Language (I-JAS). The data URLs: [ https://www2.ninjal.ac.jp/jll/lsaj/ihome2.html ].

J-CAT and TTBJ are two computerized adaptive tests used to assess Japanese language proficiency.

SPOT is a specific component of the TTBJ test.

J-CAT: https://www.j-cat2.org/html/ja/pages/interpret.html

SPOT: https://ttbj.cegloc.tsukuba.ac.jp/p1.html#SPOT .

The study utilized a prompt-based GPT-4 model, developed by OpenAI, which has an impressive architecture with 1.8 trillion parameters across 120 layers. GPT-4 was trained on a vast dataset of 13 trillion tokens, using two stages: initial training on internet text datasets to predict the next token, and subsequent fine-tuning through reinforcement learning from human feedback.

https://www2.ninjal.ac.jp/jll/lsaj/ihome2-en.html .

http://jhlee.sakura.ne.jp/JEV/ by Japanese Learning Dictionary Support Group 2015.

We express our sincere gratitude to the reviewer for bringing this matter to our attention.

On February 7, 2023, Microsoft began rolling out a major overhaul to Bing that included a new chatbot feature based on OpenAI’s GPT-4 (Bing.com).

Appendix E-F present the analysis results of the QWK coefficient between the scores computed by the human raters and the BERT, OCLL models.

Attali Y, Burstein J (2006) Automated essay scoring with e-rater® V.2. J. Technol., Learn. Assess., 4

Barkaoui K, Hadidi A (2020) Assessing Change in English Second Language Writing Performance (1st ed.). Routledge, New York. https://doi.org/10.4324/9781003092346

Bentz C, Tatyana R, Koplenig A, Tanja S (2016) A comparison between morphological complexity. measures: Typological data vs. language corpora. In Proceedings of the workshop on computational linguistics for linguistic complexity (CL4LC), 142–153. Osaka, Japan: The COLING 2016 Organizing Committee

Bond TG, Yan Z, Heene M (2021) Applying the Rasch model: Fundamental measurement in the human sciences (4th ed). Routledge

Brants T (2000) Inter-annotator agreement for a German newspaper corpus. Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00), Athens, Greece, 31 May-2 June, European Language Resources Association

Brown TB, Mann B, Ryder N, et al. (2020) Language models are few-shot learners. Advances in Neural Information Processing Systems, Online, 6–12 December, Curran Associates, Inc., Red Hook, NY

Burstein J (2003) The E-rater scoring engine: Automated essay scoring with natural language processing. In Shermis MD and Burstein JC (ed) Automated Essay Scoring: A Cross-Disciplinary Perspective. Lawrence Erlbaum Associates, Mahwah, NJ

Čech R, Miroslav K (2018) Morphological richness of text. In Masako F, Václav C (ed) Taming the corpus: From inflection and lexis to interpretation, 63–77. Cham, Switzerland: Springer Nature

Çöltekin Ç, Taraka, R (2018) Exploiting Universal Dependencies treebanks for measuring morphosyntactic complexity. In Aleksandrs B, Christian B (ed), Proceedings of first workshop on measuring language complexity, 1–7. Torun, Poland

Crossley SA, Cobb T, McNamara DS (2013) Comparing count-based and band-based indices of word frequency: Implications for active vocabulary research and pedagogical applications. System 41:965–981. https://doi.org/10.1016/j.system.2013.08.002

Article   Google Scholar  

Crossley SA, McNamara DS (2016) Say more and be more coherent: How text elaboration and cohesion can increase writing quality. J. Writ. Res. 7:351–370

CyberAgent Inc (2023) Open-Calm series of Japanese language models. Retrieved from: https://www.cyberagent.co.jp/news/detail/id=28817

Devlin J, Chang MW, Lee K, Toutanova K (2019) BERT: Pre-training of deep bidirectional transformers for language understanding. Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics, Minneapolis, Minnesota, 2–7 June, pp. 4171–4186. Association for Computational Linguistics

Diez-Ortega M, Kyle K (2023) Measuring the development of lexical richness of L2 Spanish: a longitudinal learner corpus study. Studies in Second Language Acquisition 1-31

Eckes T (2009) On common ground? How raters perceive scoring criteria in oral proficiency testing. In Brown A, Hill K (ed) Language testing and evaluation 13: Tasks and criteria in performance assessment (pp. 43–73). Peter Lang Publishing

Elliot S (2003) IntelliMetric: from here to validity. In: Shermis MD, Burstein JC (ed) Automated Essay Scoring: A Cross-Disciplinary Perspective. Lawrence Erlbaum Associates, Mahwah, NJ

Google Scholar  

Engber CA (1995) The relationship of lexical proficiency to the quality of ESL compositions. J. Second Lang. Writ. 4:139–155

Garner J, Crossley SA, Kyle K (2019) N-gram measures and L2 writing proficiency. System 80:176–187. https://doi.org/10.1016/j.system.2018.12.001

Haberman SJ (2008) When can subscores have value? J. Educat. Behav. Stat., 33:204–229

Haberman SJ, Yao L, Sinharay S (2015) Prediction of true test scores from observed item scores and ancillary data. Brit. J. Math. Stat. Psychol. 68:363–385

Halliday MAK (1985) Spoken and Written Language. Deakin University Press, Melbourne, Australia

Hirao R, Arai M, Shimanaka H et al. (2020) Automated essay scoring system for nonnative Japanese learners. Proceedings of the 12th Conference on Language Resources and Evaluation (LREC 2020), pp. 1250–1257. European Language Resources Association

Hunt KW (1966) Recent Measures in Syntactic Development. Elementary English, 43(7), 732–739. http://www.jstor.org/stable/41386067

Ishioka T (2001) About e-rater, a computer-based automatic scoring system for essays [Konpyūta ni yoru essei no jidō saiten shisutemu e − rater ni tsuite]. University Entrance Examination. Forum [Daigaku nyūshi fōramu] 24:71–76

Hochreiter S, Schmidhuber J (1997) Long short- term memory. Neural Comput. 9(8):1735–1780

Article   CAS   PubMed   Google Scholar  

Ishioka T, Kameda M (2006) Automated Japanese essay scoring system based on articles written by experts. Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Sydney, Australia, 17–18 July 2006, pp. 233-240. Association for Computational Linguistics, USA

Japan Foundation (2021) Retrieved from: https://www.jpf.gp.jp/j/project/japanese/survey/result/dl/survey2021/all.pdf

Jarvis S (2013a) Defining and measuring lexical diversity. In Jarvis S, Daller M (ed) Vocabulary knowledge: Human ratings and automated measures (Vol. 47, pp. 13–44). John Benjamins. https://doi.org/10.1075/sibil.47.03ch1

Jarvis S (2013b) Capturing the diversity in lexical diversity. Lang. Learn. 63:87–106. https://doi.org/10.1111/j.1467-9922.2012.00739.x

Jiang J, Quyang J, Liu H (2019) Interlanguage: A perspective of quantitative linguistic typology. Lang. Sci. 74:85–97

Kim M, Crossley SA, Kyle K (2018) Lexical sophistication as a multidimensional phenomenon: Relations to second language lexical proficiency, development, and writing quality. Mod. Lang. J. 102(1):120–141. https://doi.org/10.1111/modl.12447

Kojima T, Gu S, Reid M et al. (2022) Large language models are zero-shot reasoners. Advances in Neural Information Processing Systems, New Orleans, LA, 29 November-1 December, Curran Associates, Inc., Red Hook, NY

Kyle K, Crossley SA (2015) Automatically assessing lexical sophistication: Indices, tools, findings, and application. TESOL Q 49:757–786

Kyle K, Crossley SA, Berger CM (2018) The tool for the automatic analysis of lexical sophistication (TAALES): Version 2.0. Behav. Res. Methods 50:1030–1046. https://doi.org/10.3758/s13428-017-0924-4

Article   PubMed   Google Scholar  

Kyle K, Crossley SA, Jarvis S (2021) Assessing the validity of lexical diversity using direct judgements. Lang. Assess. Q. 18:154–170. https://doi.org/10.1080/15434303.2020.1844205

Landauer TK, Laham D, Foltz PW (2003) Automated essay scoring and annotation of essays with the Intelligent Essay Assessor. In Shermis MD, Burstein JC (ed), Automated Essay Scoring: A Cross-Disciplinary Perspective. Lawrence Erlbaum Associates, Mahwah, NJ

Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 159–174

Laufer B, Nation P (1995) Vocabulary size and use: Lexical richness in L2 written production. Appl. Linguist. 16:307–322. https://doi.org/10.1093/applin/16.3.307

Lee J, Hasebe Y (2017) jWriter Learner Text Evaluator, URL: https://jreadability.net/jwriter/

Lee J, Kobayashi N, Sakai T, Sakota K (2015) A Comparison of SPOT and J-CAT Based on Test Analysis [Tesuto bunseki ni motozuku ‘SPOT’ to ‘J-CAT’ no hikaku]. Research on the Acquisition of Second Language Japanese [Dainigengo to shite no nihongo no shūtoku kenkyū] (18) 53–69

Li W, Yan J (2021) Probability distribution of dependency distance based on a Treebank of. Japanese EFL Learners’ Interlanguage. J. Quant. Linguist. 28(2):172–186. https://doi.org/10.1080/09296174.2020.1754611

Article   MathSciNet   Google Scholar  

Linacre JM (2002) Optimizing rating scale category effectiveness. J. Appl. Meas. 3(1):85–106

PubMed   Google Scholar  

Linacre JM (1994) Constructing measurement with a Many-Facet Rasch Model. In Wilson M (ed) Objective measurement: Theory into practice, Volume 2 (pp. 129–144). Norwood, NJ: Ablex

Liu H (2008) Dependency distance as a metric of language comprehension difficulty. J. Cognitive Sci. 9:159–191

Liu H, Xu C, Liang J (2017) Dependency distance: A new perspective on syntactic patterns in natural languages. Phys. Life Rev. 21. https://doi.org/10.1016/j.plrev.2017.03.002

Loukina A, Madnani N, Cahill A, et al. (2020) Using PRMSE to evaluate automated scoring systems in the presence of label noise. Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building Educational Applications, Seattle, WA, USA → Online, 10 July, pp. 18–29. Association for Computational Linguistics

Lu X (2010) Automatic analysis of syntactic complexity in second language writing. Int. J. Corpus Linguist. 15:474–496

Lu X (2012) The relationship of lexical richness to the quality of ESL learners’ oral narratives. Mod. Lang. J. 96:190–208

Lu X (2017) Automated measurement of syntactic complexity in corpus-based L2 writing research and implications for writing assessment. Lang. Test. 34:493–511

Lu X, Hu R (2022) Sense-aware lexical sophistication indices and their relationship to second language writing quality. Behav. Res. Method. 54:1444–1460. https://doi.org/10.3758/s13428-021-01675-6

Ministry of Health, Labor, and Welfare of Japan (2022) Retrieved from: https://www.mhlw.go.jp/stf/newpage_30367.html

Mizumoto A, Eguchi M (2023) Exploring the potential of using an AI language model for automated essay scoring. Res. Methods Appl. Linguist. 3:100050

Okgetheng B, Takeuchi K (2024) Estimating Japanese Essay Grading Scores with Large Language Models. Proceedings of 30th Annual Conference of the Language Processing Society in Japan, March 2024

Ortega L (2015) Second language learning explained? SLA across 10 contemporary theories. In VanPatten B, Williams J (ed) Theories in Second Language Acquisition: An Introduction

Rae JW, Borgeaud S, Cai T, et al. (2021) Scaling Language Models: Methods, Analysis & Insights from Training Gopher. ArXiv, abs/2112.11446

Read J (2000) Assessing vocabulary. Cambridge University Press. https://doi.org/10.1017/CBO9780511732942

Rudner LM, Liang T (2002) Automated Essay Scoring Using Bayes’ Theorem. J. Technol., Learning and Assessment, 1 (2)

Sakoda K, Hosoi Y (2020) Accuracy and complexity of Japanese Language usage by SLA learners in different learning environments based on the analysis of I-JAS, a learners’ corpus of Japanese as L2. Math. Linguist. 32(7):403–418. https://doi.org/10.24701/mathling.32.7_403

Suzuki N (1999) Summary of survey results regarding comprehensive essay questions. Final report of “Joint Research on Comprehensive Examinations for the Aim of Evaluating Applicability to Each Specialized Field of Universities” for 1996-2000 [shōronbun sōgō mondai ni kansuru chōsa kekka no gaiyō. Heisei 8 - Heisei 12-nendo daigaku no kaku senmon bun’ya e no tekisei no hyōka o mokuteki to suru sōgō shiken no arikata ni kansuru kyōdō kenkyū’ saishū hōkoku-sho]. University Entrance Examination Section Center Research and Development Department [Daigaku nyūshi sentā kenkyū kaihatsubu], 21–32

Taghipour K, Ng HT (2016) A neural approach to automated essay scoring. Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, Austin, Texas, 1–5 November, pp. 1882–1891. Association for Computational Linguistics

Takeuchi K, Ohno M, Motojin K, Taguchi M, Inada Y, Iizuka M, Abo T, Ueda H (2021) Development of essay scoring methods based on reference texts with construction of research-available Japanese essay data. In IPSJ J 62(9):1586–1604

Ure J (1971) Lexical density: A computational technique and some findings. In Coultard M (ed) Talking about Text. English Language Research, University of Birmingham, Birmingham, England

Vaswani A, Shazeer N, Parmar N, et al. (2017) Attention is all you need. In Advances in Neural Information Processing Systems, Long Beach, CA, 4–7 December, pp. 5998–6008, Curran Associates, Inc., Red Hook, NY

Watanabe H, Taira Y, Inoue Y (1988) Analysis of essay evaluation data [Shōronbun hyōka dēta no kaiseki]. Bulletin of the Faculty of Education, University of Tokyo [Tōkyōdaigaku kyōiku gakubu kiyō], Vol. 28, 143–164

Yao S, Yu D, Zhao J, et al. (2023) Tree of thoughts: Deliberate problem solving with large language models. Advances in Neural Information Processing Systems, 36

Zenker F, Kyle K (2021) Investigating minimum text lengths for lexical diversity indices. Assess. Writ. 47:100505. https://doi.org/10.1016/j.asw.2020.100505

Zhang Y, Warstadt A, Li X, et al. (2021) When do you need billions of words of pretraining data? Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Online, pp. 1112-1125. Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.acl-long.90

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This research was funded by National Foundation of Social Sciences (22BYY186) to Wenchao Li.

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Li, W., Liu, H. Applying large language models for automated essay scoring for non-native Japanese. Humanit Soc Sci Commun 11 , 723 (2024). https://doi.org/10.1057/s41599-024-03209-9

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Elisa Gabbert’s essays in “Any Person Is the Only Self” are brimming with pleasure and curiosity about a life with books.

Tell people you read and write for a living, and they picture a ghostly creature, an idea only incidentally appended to a body. What they often fail to understand is that the life of the mind is also a physical life — a life spent lugging irksomely heavy volumes around on the Metro and annotating their margins with a cramping hand. The poet, essayist and New York Times poetry columnist Elisa Gabbert is rare in grasping that reading is, in addition to a mental exercise, a movement performed in a particular place.

“If I remember anything about a book, I also remember where I read it — what room, what chair,” she writes in her charming new essay collection, “ Any Person Is the Only Self .” Writing, too, proves spatial: “I think essays, like buildings, need structure and mood. The first paragraph should function as a foyer or an antechamber, bringing you into the mood.”

The 16 delightfully digressive pieces in this collection are all moods that involve books in one way or another. But they are not just about the content of books, although they are about that, too: They are primarily about the acts of reading and writing, which are as much social and corporeal as cerebral.

In the first essay — the foyer — Gabbert writes about the shelf of newly returned books at her local library. “The books on that shelf weren’t being marketed to me,” she writes. “They weren’t omnipresent in my social media feeds. They were very often old and very often ugly. I came to think of that shelf as an escape from hype.” The haphazard selections on the shelf were also evidence of other people — the sort of invisible but palpable community of readers that she came to miss so sharply during the pandemic.

In another essay, she learns of a previously unpublished story by one of her favorite authors, Sylvia Plath, who makes frequent appearances throughout this book. Fearing that the story will disappoint her, Gabbert puts off reading it. As she waits, she grows “apprehensive, even frightened.”

There are writers who attempt to excise themselves from their writing, to foster an illusion of objectivity; thankfully, Gabbert is not one of them. On the contrary, her writing is full of intimacies, and her book is a work of embodied and experiential criticism, a record of its author’s shifting relationships with the literature that defines her life. In one piece, she rereads and reappraises books she first read as a teenager; in another, she and her friends form a “Stupid Classics Book Club,” to tackle “all the corny stuff from the canon that we really should have read in school but never had.”

Gabbert is a master of mood, not polemic, and accordingly, her writing is not didactic; her essays revolve around images and recollections rather than arguments. In place of the analytic pleasures of a robustly defended thesis, we find the fresh thrills of a poet’s perfected phrases and startling observations. “Parties are about the collective gaze, the ability to be seen from all angles, panoramically,” she writes in an essay about fictional depictions of parties. She describes the photos in a book by Rachael Ray documenting home-cooked meals — one of the volumes on the recently returned shelf — as “poignantly mediocre.” Remarking on a listicle of “Books to Read by Living Women (Instead of These 10 by Dead Men),” Gabbert wonders, “Since when is it poor form to die?”

“Any Person Is the Only Self” is both funny and serious, a winning melee of high and low cultural references, as packed with unexpected treasures as a crowded antique shop. An academic text on architecture, the Austrian poet Rainer Maria Rilke, a rare memory disorder whose victims recall every aspect of their autobiographies in excruciatingly minute detail, “Madame Bovary,” YouTube videos about people who work as professional cuddlers, a psychological study about whether it is possible to be sane in an insane asylum — all these feature in Gabbert’s exuberant essays. She is a fiercely democratic thinker, incapable of snobbery and brimming with curiosity.

Perhaps because she is so indefatigably interested, she gravitates toward writers who see literature as a means of doubling life, allowing it to hold twice as much. Plath confessed in her journals that she wrote in an attempt to extend her biography beyond its biological terminus: “My life, I feel, will not be lived until there are books and stories which relive it perpetually in time.” The very act of keeping a diary, then, splits the self in two.

Plath once insisted that bad things could never happen to her and her peers because “we’re different.” Gabbert asks “Different why?” and concludes that everyone is different: “We are we , not them. Any person is the only self.” But that “only” is, perhaps counterintuitively, not constrained or constricted. Walt Whitman famously wrote that his only self comprised “multitudes,” and Gabbert echoes him when she reflects, “If there is no one self, you can never be yourself, only one of your selves.” And indeed, she is loath to elevate any of her many selves over any of the others. When she rereads a book that she loved in her adolescence, she thinks she was right to love it back then. “That self only knew what she knew,” she writes. “That self wasn’t wrong .” Both her past self and her present self have an equal claim to being Elisa Gabbert, who is too fascinated by the world’s manifold riches to confine herself to a single, limited life.

Becca Rothfeld is the nonfiction book critic for The Washington Post and the author of “All Things Are Too Small: Essays in Praise of Excess.”

Any Person Is the Only Self

By Elisa Gabbert

FSG Originals. 230 pp. $18, paperback.

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History Grade 11 - Topic 3 Essay Questions

Essay Question

To what extent did Australian government policies and legislation succeed in perpetuating racism and the dehumanization of the Aborigines in the 19th and 20th centuries? Present an argument in support of your answer using relevant historical evidence. [1]

Introduction :

A number of scholars agree that race was part of the Enlightenment project that resulted from the desire to classify people into distinct categories. [2] Racial classification certainly existed before this period, but the ‘modern’ application of race has much to do with Europe’s interaction with the ‘rest of the world’. [3] Thus, central to the project of European colonialism was the crystallization of Eugenics policies and an array of social Darwinist theories in the late 19th and early 20th centuries. These theories which later transformed government policy and law rendered non-European peoples as subhuman and biologically inferior and thus should be dispossessed of their land and other vital resources and ultimately exterminated in society. Therefore, and relevant to this essay, we will focus on the implementation of Eugenics policies and Social Darwinism in Australia in order to evaluate the extent to which these policies impacted on the Aboriginal people of Australia.

British colonisation and occupation of Australia

After the British colonised Australia in the 18th century, the first one hundred and forty years of Australian colonial history was marked by conflict and dispossession. [4] The arrival of Lieutenant James Cook and then Arthur Philip in 1788 marked the beginning of ‘white settlement’. [5] From 1788, Australia was treated by the British as a colony of settlement, not of conquest. Aboriginal land was expropriated by the British colonists on the premise that the land was empty (the terra nullius theory) and that the British colonists discovered it. This myth was applied across the colonial world to perpetuate and justify indigenous dispossession and genocide. [6]

Colonists viewed the indigenous Australians as inferior and scarcely human. Their way of life was seen as ‘primitive and uncivilised’, and colonialists believed that their culture would eventually die out. [7] This view justified colonial conquest of the Aboriginal people. Social anthropologists from universities who ‘studied’ the way of life of the Aborigines reinforced this view. [8] Firstly, this view added some ‘scientific’ credibility to observations about this ‘primitive’ society with the lowest level of kinship and the most ‘primitive’ form of religion. Secondly, it also added to the views of Australian eugenicists without deeply analysing the complexities of Aboriginal life. [9]

Application of eugenics policies on the Aborigines

Eugenics associations were established in many states, e.g., New South Wales and Victoria. In 1960 the Racial Hygiene Association, based in Sydney, became the Family Planning Association. [10] A prominent eugenicist in Melbourne was Prof Richard Berry who believed the Aborigines to be the most primitive form of humans. Berry studied and measured people’s heads to prove his theory that white, educated people were the smartest, while the poor, criminals and Aboriginal Australian were the least so. Berry proposed a euthanasia chamber for so-called mental defectives. [11] Ideas of racial decay and racial suicide were aimed at strengthening the number of whites in society, especially in the north where Asian populations were expanding. [12] In 1901 the Immigration Restriction Act was passed (known as the White Australia Policy). White racial unity was promoted as a form of racial purity.

Immigration was encouraged from the UK in 1922 to swell European numbers and thousands of children were sent to keep Australia white. 1912: white mothers offered £5 childbirth bounty in order to grow the size of wealthy middle -class families, which tended to have fewer children than poorer, pauper families in society. [13] This was partly in response to the debate around ‘racial suicide’. It was thought that the middle class would die out because they were not having enough children. [14] Decrease in the number of middle-class whites led to notions of ‘racial decay’. It was assumed that ‘racial poisons’ (e.g., TB, venereal disease, prostitution, alcoholism and criminality) would decimate whites with good stock (middle class). Plans were made to deal with ‘racially contaminated’ and misfits to keep middle class ‘pure’. [15]

Australia Immigration Policies

The White Australian policy of 1901 aimed at cohesion among the white population in the country. [16] It enshrined discrimination and white superiority. Between 1920 and 1967 thousands of British children between the ages of 3 and 14 were sent to Australia and Canada to boost the size of the white population. These children came from poor backgrounds and were mostly in social care. Many of these children were cut off from their families and were often told they were orphans. [17] In addition, a number of these children stayed in orphanages in Australia or became unpaid cheap labour on farms and in some instances were physically and sexually abused. The children who were forcibly migrated under the system became known as the Lost Generation. Catholic Church established homes to accommodate and assist migrant children. In 1987 the Child Migrant Trust under the leadership of Margaret Humphreys began to publicise the abuse of child migrants. [18]

The lost generation?

Children of mixed race were either viewed as inferior by some or as slightly more superior than other Aborigines. [19] However, at the beginning of the 20th century, these ‘half-caste’ children were viewed as a threat to the future of the white race in Australia. In 1913, W. Baldwin Spencer set up 13 proposals to manage the half-caste populations in and around the towns, mining housing and other sites of contact between ‘races’. These included: segregated living areas in certain towns, limits set on the employment of indigenous population by white Australians, the removal of Aboriginal people to a compound, the construction of a half-caste home in one area, a ban on interracial contact and authority given to protectors in some areas to remove ‘half-caste’ children from their families and place them in homes.

By 1930s the number of part-Aboriginal population increased. Dr Cecil Cook and A.O. Neville believed that the white race was headed for extinction. They were responsible for assimilation programmes for ‘breeding blackness out.’ About 100 000 ‘mixed-race’ children were taken from their parents between 1910 and 1970 to breed out Aboriginal blood. Cook encouraged lighter-skinned women to marry white men and in this way ‘breed out their colour’. In 1951, the new Minister for Territories, Paul Hasluck, claimed that assimilation would be the new policy to deal with the indigenous people and motivated this on the grounds of looking after the child’s welfare. Policemen or government officials often took children from their sobbing mothers, they were raised as orphans. Many of these children experienced abuse and neglect. Labels were used, e.g., quadroon, octaroon, to indicate how much ‘white’ blood they had. This policy only ended in 1971. These children are known today as the Stolen Generation. [20]

Reparations?

The practice of removing Aboriginal children from their families was not spoken about until 1997. An official enquiry revealed consistent abuse, exploitation in the labour market, social dislocation that led to alcoholism, violence, and early death. [21] In 2009 Prime Minister Kevin Rudd apologised in parliament for the laws and policies that inflicted grief, suffering and loss on them. He particularly mentioned the ‘Stolen Generation’ who had been removed from their families. In 2010 Rudd apologised to the ‘Lost Generation’ of children who were held in orphanages and other institutions between 1930 and 1970. [22]

Racial ideologies were not simply advanced by a conglomeration of nationalism, imperialism, Darwinism and Eugenics. In the early Twentieth Century, there became evidence strands of simply cultural racism that can be seen as running alongside the biological determinism that was largely prevalent. From this perspective, individuals were suspicious or negative towards to other races not solely on the basis on racial differences, but because those differences represented a divergence in cultural values. This can be seen in the number of miscegenation laws that prevailed in Australia and elsewhere in the colonial world in this context, which have been interpreted as founded on notions of biological mixing. This therefore was an attempt to assert the supremacy of the white race over all other races. Therefore, the development of the sciences of evolutionary Darwinism and Eugenics provided further scientific validity to these views, justifying unequal power relationships either by pinpointing the inability of certain races to develop, or by suggesting the more advanced races had a personal benevolence to the others.

Nazi Germany and the Holocaust

Hitlers consolidation of power from 1933 to 1934 :

The Great Depression had severe economic effects which increased support for political parties that were extremists such as the NSDAP (Nationalsozialistische Deutsche Arbeiterpartei = National Socialist German Workers’ Party, which is popularly known as the Nazi party in English) on the right and the Communist Party on the left. [23] In 1993, Hitler was appointed as Chancellor by the then President Von Hindenburg. [24] This was a significant appointment as Hitler used his position as head of government to consolidate Nazi control. In power, the Nazis dominated the police force by utilizing them to break up meetings that opposition parties had and outlawed all forms of public meetings by justifying that these posed a ‘threat’ to public safety. on the 27th of February 1993, an arson attack occurred which burned the building which housed the German parliament, and this attack became known as the Reichstag Fire. After the Reichstag fire, Hitler got Von Hindenburg to pass a decree which suspended all articles in the constitution that guaranteed peoples key freedoms and liberty. [25] This meant that political opposition were arrested and subsequently sent to concentration camps. The Nazis did not win a clear majority in the elections despite rigorous intimidation and propaganda. As a result, Hitler banned the Communists from the Reichstag party which was supported by the Centre Party- a lay Catholic Party in Germany. [26] Hitler then arranged to get the Reichstag to agree to pass the Enabling Act which allowed him to make laws by decree. This made it possible for Hitler to centralise the government by taking away powers of the state governments. In addition, Hitler destroyed the free trade union movements and banned the Social Democrats and the Communist Party. [27] However, in 1934, an increasing number of left-wing elements within the Nazi Party were opposing Hitlers authority. [28] The Sturmabteilung- Nazi Party’s paramilitary wing, which was led by Ernst Rohm was interested in the socialistic elements of Nazism. [29] In short, they wanted Germany to be a full socialistic state. However, the German Wehrmacht- unified armed forces of Nazi Germany opposed the Sturmabteilung’s stance. On the 30th of June 1934, Hitler’s Schutzstaffel (SS)- a major paramilitary organization under Adolf Hitler got rid of the Sturmabteilung in which 400 of their murders were murdered including Rohm their leader. [30] The SS was now the new elite force which aligned itself with the Hitlers Nazi Party. Following the death of Von Hindenburg in 1934, Hitler merged the positions of president and chancellor and became known as the Führer- leader. Within this new leadership structure, total loyalty was demanded from all Germans. This also led to Germany becoming police state- a totalitarian state controlled by a political police force that secretly supervises the citizens' activities. The SS were led by Heinrich Himmler who was a ruthless and brutal leader who ran the labour and concentration camps, including the Gestapo- secrete state police. [31] Most Germans understood that to resist the rule of the Nazis would be futile.

The creation of a racial state in Germany: defining the German nation in relation to the ‘other’:

In Germany, the ‘perfect German race’ came to be known as the Aryan race which was perceived as the master race by the Nazi Party. [32] The ‘other’ was other races which were perceived to be unproductive, asocial and undesirables such as the gypsies and the Jews which were viewed as coming from impure blood. These groups of people were thought to be inferior and therefore marginalised, treated as sub-human by segregating them and thus dehumanising them. [33] The Aryan race were considered superior because of their ancestry, survival instinct, ‘pure blood’, intellect and perception that they had the capacity to work hard. In Hitlers Nazi state, antisemitism was blamed on race. Hitler hated Jewish people and thus, this hatred shaped his political philosophy. As a result, Jews became a scapegoat for Germanies problems and were thus hunted down in order to eradicate them. To identify ‘others’, stereotyping was used to judge and isolate them. [34] This led to prejudice and gross discrimination which sometimes even meant death. The Nazi Parties promotion of the idea to cleanse Germany of all its ‘enemies’ and because Hitler hated Jews, this led to the mass killing of Millions of Jews.

Applying racial and eugenic laws and policies- Purifying the nation:

Positive eugenics- Refers to efforts which are directed and expanding desirable traits. Positive eugenic Nazi programmes thus encouraged the breeding of pure Aryans since they were viewed as the master race. [35] In these programmes, women were central in creating this perceived pure nation. What this meant practically was that breeding between ‘Aryan’ women and genetically suitable ‘Aryan’ men such as those who were part of the SS were heavily encouraged. In 1936, the Lebensborn programme was established in which SS couples who were deemed to be biologically, racially and hereditarily valuable families were selected to adopt suitable Aryan children. [36]

Negative eugenics- refers to effort which are directed to eliminate through sterilisation, segregation or other means those who are perceived or deemed to be physically, mentally or morally ‘undesirable’.  Negative eugenics programmes and laws were passed to eliminate ‘contaminating’ elements of German society. These took many different forms such as sterilisation programmes. [37] In July 1933, the Sterilisation law was passed which gave Nazis the power to sterilise any person who suffered from diseases or hereditary conditions such as schizophrenia or feeblemindedness. Approximately 350 000 people were sterilised as a result of this programme including teenagers of mixed race. In 1933, the Department of Gene and Race Care was establish and Genetic health courts helped enforce these laws. Concentration camps were established and by 1936, these camps were filled with prostitutes, alcoholics, beggars, homosexuals and juvenile delinquents. [38] By 1938, around 11 000 were sent to these camps. Euthanasia (intentionally ending life to relieve pain and suffering) programmes were established. At the beginning of WWII, Hitler signed a decree which allowed for the systematic killing (euthanasia) in institutions of handicapped patients who were considered incurable. [39] The name of the programme was called Operation T4. These killings were secretly carried out in order to prevent a negative reaction from the Catholic Church. These killings were ordered by doctors in special committees who decided who was going to be killed. Initially, these killings were done by lethal injection, however, carbon monoxide was later used. [40] Nazi records show that 70 273 deaths were carried out by gassing at six different euthanasia centres. These euthanasia programmes were just the testing for Jewish extermination later on.

Groups targeted by the Nazis:

Under Hitler, policies in Germany were based on anti-Semitism as he regarded Jews as a separate race who were un-Godly and evil. At first, discrimination made life very uncomfortable for Jews in Germany. However, as the Nazi Party grew in power by having less and less opposition in Germany, Hitlers Party introduced stricter laws against Jews. [41] Most German people chose to be bystanders when these atrocities were being committed. As a result of these laws, Jewish people were Segregated from political, economic, social and educational life in Germany.     Between the years 1933 to 1934, Jewish professions and buisinesses were being targeted which resulted in them being excluded from civil services. In 1935, the Nuremburg Laws (antisemitic and racist laws that were enacted in Germany by the Nazi Party) were passed. [42] The Nuremburg Laws meant that Jewish people were not considered German citizens and they forbade marriages between German citizens and Jewish Germans. However, these anti-Semitic laws were relaxed in 1936 because Germany hosted the Olympic games, and thus had many visitors. [43] The following year in 1937 ‘Aryanisation’ began again. When the Nazi Party annexed (The concept in international law in which one state forcibly acquires another states territory) Austria in 1938, anti-Semitism spread there as well. On November 1938, a German diplomat was murdered in Paris, and as retaliation, Jewish shops, buisineses, homes and places of worship were targeted throughout Germany. 20 000 Jews were sent to concentration camps, majority of whom were killed. [44] This event came to be known as Kristallnacht (Violent, state-mandated actions against Jews). This led to Jewish pupils being expelled from schools, Jewish businessmen forced to close their shops, Jewish valuables to be confiscated and in 1939 a curfew was introduced for Jews.

Sinti and Roma:

Gypsies in Germany, like the Jews were targeted for extermination. At first, many were deported as the ‘undesirables.’ However, later there were sterilisation laws against the gypsies.  A new law termed “Fight against the Gypsy Menace” required that all gypsies register with the police. [45] They were then forced into concentration camps and ghettos. In Europe, thousands of gypsy women and children were killed in various campaigns. A separate ‘Gypsy family camp’ was set up at Auschwitz-Birkenau which saw many inmates die of exhaustion from hard labour, disease, malnutrition and gassing of children which were done by a Dr called Mengele. [46] Alex Bandy, a Hungarian journalist termed this campaign the ‘forgotten holocaust’.

Other groups targeted by the Nazis:

Political opponents such as Social Democrats, Communists and Trade union leaders were targeted by the Nazis. [47] In addition, Religious opponents such as Jehovah’s Witnesses and Dissident priests (Catholic resistance to Nazi Germany) were also targeted by the Nazis. Those accused of ‘asocial’ crimes such as criminals or homosexuals were also targeted by the Nazi Party. [48]

Choices that people made:

Perpetrators:

Some of the perpetrators of the Nazi regime were secretaries, train drivers, bureaucrats while others actively took part in the killings. [49] Others perpetrators were in the Einsatzgruppen (Extermination squads) while others ran the concentration camps. However, many Nazi Party official denied complicity and said that they were merely following orders. Some perpetrators even claimed that they were negatively affected by their violent actions. [50]

 Bystanders:

The vast majority of people not just in Germany but were the world were bystanders. By choosing this stance of being a bystander and be different and passive witnesses, bystanders affirmed the perpetrators. Within the group of bystanders, others chose to become the perpetrators, while others chose to be resisters or rescuers. [51]

Rescuers under the Nazi regime chose to courageously speak out against the regime or actively rescue victims. Many of these rescuers attributed their actions to their convictions and morality to resist evil. Many of them acted courageously based on their faith. Many hid Jews or smuggled them out of occupied areas. [52]

Responses of the persecuted: exile, accommodation, defiance:

Responses from being persecuted by the Nazi Party took many forms such as partisan activities such as smuggling of secret messages, exchanging of food and weapons which sabotaged the Nazis attempt to persecute those they deemed undesirable. In addition, those persecuted responded by military engagement with the Nazi Party despite being heavily suppressed by Nazi troops. Victims continued with their way of life such as cultural traditions, religious practices, creating music and art such as poetry inside the concentration camps and ghettos. In addition, some of the victims managed to escape or go into exile. This caused underground resistance movements aimed at countering Nazi propaganda with anti-Nazi propaganda. The determination for survival was also a form of resistance by victims.

From persecution to mass murder: The Final solution:

The Holocaust (Was the genocide of European Jews during WWII) was carried out as the ‘Final Solution’ under the guise of war. The Einsatzgruppen followed German soldiers into invading other territories. They arrested everyone who resisted and killed those they thought could resist. The Nazis carried out forced removals of those they deemed sub-human or undesirables and carried out mass murders. [53] In Poland, thousand of Polish citizens were sent to labour and concentration camps. Jews were forcibly put in overcrowded ghettos were many would die of inhumane conditions and starvation.

Labour and extermination camps:

In 1941, the Einsatzgruppen followed invading troops into Russia where thousands of Jews were rounded up in preparation to send them to concentration camps. 700 Jews were gassed in vans in Chelmo. This reinforced Hitler’s desire for a ‘Final Solution’ to the Jewish question. The death camps under the SS were established for this reason. [54] In addition, extermination centre sites were purposely located near railway lines so that there was efficient transportation. In 1942, there were mass deportations of Jews from the ghettos. A lot of them died along the way due to the unhygienic conditions, lack of food and heat in transportation. Gas chambers were created for the purposes of mass gassing of Jews using Zyklon-B pellets. Jewish bodies were cremated, and their ashes and bones were intended for fertilisers. Approximately 6 million Jews were killed during the Holocaust. [55]

Forms of justice: The Nuremburg Trials:

Allied forces decided that the main perpetrators of the Holocaust should be put on trial. [56] An international military tribunal was set up at Nuremburg where 22 Nazi leaders were put on trial for crimes against humanity in addition to their other war crimes. [57] Nazi records provided a much of the evidence and details of the crimes the leaders and committed. The accused did not deny having committed these crimes but were claiming that these crimes were not against humanity. Others argued that they were simply following orders. 13 different trials were set up in Nuremburg between the years 1945 and 1950 and 12 defendants were sentenced to dead. In total 199 Nazis were put on trial. This type of justice is called punitive justice where the perpetrators get punished for their crimes. [58]

Shortcomings of the process:

These trials did not come without their shortcomings, some of which included small perpertrators not being called and held accountable for their actions as they could deny their complicity for what had happened. In addition, victorious allies carried out the trials and as a result, Germany and German people never faced what they had done. For many years there was a culture of silence and this could be regarded as a denial of responsibility. [59]

Positive outcomes of these trials:

These trials did come with some positives such as giving people new ways of thinking about how to tackle gross human rights violations. Restorative justice and mechanism such as truth and reconciliation commissions could be formed in the future. Examples of such truth and reconciliation commissions around the world are the Liberian Truth and Reconciliation Commission and South Africa’s Truth and Reconciliation Commission. [60]

This content was originally produced for the SAHO classroom by Ayabulela Ntwakumba and Thandile Xesi

[1] National Senior Certificate. “Grade 11 November History Paper 1 Exam,” National Senior Certificate, November 2018.

[2] Cohen, William B. "Literature and Race: Nineteenth Century French Fiction, Blacks and Africa 1800-1880." Race 16, no. 2 (1974): 181-205.

[3] Macdonald, Ian. "The Capitalist Way to Curb Discrimination." Race Today (1973): 241.

[4] http://www.workingwithindigenousaustralians.info/content/History_3_Colo…

[7] https://australianstogether.org.au/discover/indigenous culture/kinship.

[8] Moses, A. Dirk. "An antipodean genocide? The origins of the genocidal moment in the colonization of Australia." Journal of Genocide Research 2, no. 1 (2000): 89-106.

[9] Genger, Peter. "The British Colonization of Australia: An Exposé of the Models, Impacts and Pertinent Questions." Peace and Conflict Studies 25, no. 1 (2018): 4.

[10] Barta, Tony. "Relations of genocide: land and lives in the colonization of Australia." Genocide and the modern age: etiology and case studies of mass death 2 (1987): 237-253.

[11] Foley, Gary. "Eugenics, Melbourne University and me." Tracker: be informed, be involved, be inspired (2012).

[12] Ibid.,

[13] Banner, Stuart. "Why Terra Nullius-Anthropology and Property Law in Early Australia." Law & Hist. Rev. 23 (2005): 95.

[14] Ibid.,

[15] Lester, Alan, and Nikita Vanderbyl. "The Restructuring of the British Empire and the Colonization of Australia, 1832–8." In History Workshop Journal, vol. 90, pp. 165-188. Oxford Academic, 2021.

[16] Hunter, Ernest, and Desley Harvey. "Indigenous suicide in australia, new zealand, canada and the united states." Emergency Medicine 14, no. 1 (2002): 14-23.

[17] Wakefield, Edward Gibbon. A view of the art of colonization, with present reference to the British Empire. JW Parker, 1849.

[18] Hollinsworth, David. Race and racism in Australia. Thomson Learning Australia, 2006.

[19] Ibid.,

[20] Hume, Lynne. "The dreaming in contemporary aboriginal Australia." Indigenous religions: a companion. London: Cassell (2000): 125-138.

[21] Read, Peter. Belonging: Australians, place and Aboriginal ownership. Cambridge University Press, 2000.

[22] Ibid.,

[23] King, Gary, Ori Rosen, Martin Tanner, and Alexander F. Wagner. "Ordinary economic voting behavior in the extraordinary election of Adolf Hitler." The Journal of Economic History 68, no. 4 (2008): 951-996.

[24] Caldwell, Peter. "National Socialism and Constitutional Law: Carl Schmitt, Otto Koellreutter, and the Debate over the Nature of the Nazi State, 1993-1937." Cardozo L. Rev. 16 (1994): 399

[25] Bessel, Richard. "The Nazi capture of power." journal of Contemporary History 39, no. 2 (2004): 169-188.

[26] Evans, Richard. "Hitler's Dictatorship." History Review 51 (2005): 20.

[27] Ibid.,

[28] Britannica, T. Editors of Encyclopaedia. "SA." Encyclopedia Britannica, November 11, 2020. https://www.britannica.com/topic/SA-Nazi-organization .

[29] Ibid.,

[30] Ibid.,

[31] Power, Jonathan. "Heinrich Himmler, Hitler’s Deputy–From Boyhood to Chief Murderer of the Jews." In Ending War Crimes, Chasing the War Criminals, pp. 13-18. Brill Nijhoff, 2017.

[32] https://encyclopedia.ushmm.org/content/en/article/aryan-1

[33] Ibid.,

[34] Ibid.,

[35] Grodin, Michael A., Erin L. Miller, and Johnathan I. Kelly. "The Nazi physicians as leaders in eugenics and “euthanasia”: Lessons for today." American journal of public health 108, no. 1 (2018): 53-57.

[36] Ibid.,

[37] Kevles, Daniel J. "Eugenics and human rights." Bmj 319, no. 7207 (1999): 435-438.

[38] Ibid.,

[39] Benedict, Susan, and Jochen Kuhla. "Nurses’ participation in the euthanasia programs of Nazi Germany." Western Journal of Nursing Research 21, no. 2 (1999): 246-263.

[40] ibid.,

[41] Johnson, Mary, and Carol Rittner. "Circles of Hell: Jewish and non-Jewish victims of the Nazis." The Annals of the American Academy of Political and Social Science 548, no. 1 (1996): 123-137.

[42] Kroslak, Daniel. "Nuremberg Laws." The Lawyer Quarterly.-ISSN 8396 (1805): 184-194.

[43] Rippon, Anton. Hitler's Olympics: The Story of the 1936 Nazi Games. Pen and Sword, 2006.

[44] Fitzgerald, Stephanie. Kristallnacht. Capstone, 2017.

[45] Lutz, Brenda Davis. "Gypsies as Victims of the Holocaust." Holocaust and Genocide Studies 9, no. 3 (1995): 346-359.

[46] Ibid.,

[47] Evans, Richard. "Hitler's Dictatorship." History Review 51 (2005): 20.

[48] Ibid.,

[49] O’Byrne, Darren. "Perpetrators? Political civil servants in the Third Reich." In Perpetrators and Perpetration of Mass Violence, pp. 83-98. Routledge, 2018.

[50] Ibid.,

[51] Monroe, Kristen Renwick. "Cracking the code of genocide: The moral psychology of rescuers, bystanders, and Nazis during the Holocaust." Political Psychology 29, no. 5 (2008): 699-736.

[52] Ibid.,

[53] Breitman, Richard. "Plans for the final solution in early 1941." German Studies Review 17, no. 3 (1994): 483-493.

[54] Pohl, Dieter. "The Holocaust and the concentration camps." In Concentration Camps in Nazi Germany, pp. 161-178. Routledge, 2009.

[55] Ibid.,

[56] Steinacher, Gerald J. "The Betrayal: The Nuremberg Trials and German Divergence Kim Christian Priemel." (2018): 123-124.

[57] https://www.history.com/topics/world-war-ii/nuremberg-trials

[58] Ibid.,

[59] Ibid.,

[60] Adam, Heribert, and Kanya Adam. "Merits and shortcomings of the South African Truth and Reconciliation Commission." In Remembrance and Forgiveness, pp. 34-46. Routledge, 2020.

• Adam, Heribert, and Kanya Adam. "Merits and shortcomings of the South African Truth and Reconciliation Commission." In Remembrance and Forgiveness, pp. 34-46. Routledge, 2020.
• Bessel, Richard. "The Nazi capture of power." journal of Contemporary History 39, no. 2 (2004): 169-188.
• Benedict, Susan, and Jochen Kuhla. "Nurses’ participation in the euthanasia programs of Nazi Germany." Western Journal of Nursing Research 21, no. 2 (1999): 246-263.
• Breitman, Richard. "Plans for the final solution in early 1941." German Studies Review 17, no. 3 (1994): 483-493.
• Britannica, T. Editors of Encyclopaedia. "SA." Encyclopedia Britannica, November 11, 2020. https://www.britannica.com/topic/SA-Nazi-organization.
• Bunker, Raymond. "Systematic colonization and town planning in Australia and New Zealand." Planning Perspectives 3, no. 1 (1988): 59-80.
• Caldwell, Peter. "National Socialism and Constitutional Law: Carl Schmitt, Otto Koellreutter, and the Debate over the Nature of the Nazi State, 1993-1937." Cardozo L. Rev. 16 (1994): 399
• Dunn, Kevin M., James Forrest, Ian Burnley, and Amy McDonald. "Constructing racism in Australia." Australian journal of social issues 39, no. 4 (2004): 409-430.
• Docker, John. "A plethora of intentions: genocide, settler colonialism and historical consciousness in Australia and Britain." The International Journal of Human Rights 19, no. 1 (2015): 74-89.
• Fitzgerald, Stephanie. Kristallnacht. Capstone, 2017.
• Grodin, Michael A., Erin L. Miller, and Johnathan I. Kelly. "The Nazi physicians as leaders in eugenics and “euthanasia”: Lessons for today." American journal of public health 108, no. 1 (2018): 53-57.
• Hollinsworth, David. Race and racism in Australia. Thomson Learning Australia, 2006.
• Howard-Wagner, Deirdre. "Colonialism and the science of race difference." In TASA and SAANZ 2007 Joint Conference Refereed Conference Proceedings–Public Sociologies: Lessons and Trans-Tasman Comparisons, The Australian Sociological Association. 2007.
• Jalata, Asafa. "The impacts of English colonial terrorism and genocide on Indigenous/Black Australians." Sage Open 3, no. 3 (2013): 2158244013499143.
• Johnson, Mary, and Carol Rittner. "Circles of Hell: Jewish and non-Jewish victims of the Nazis." The Annals of the American Academy of Political and Social Science 548, no. 1 (1996): 123-137.
• Kevles, Daniel J. "Eugenics and human rights." Bmj 319, no. 7207 (1999): 435-438.
• King, Gary, Ori Rosen, Martin Tanner, and Alexander F. Wagner. "Ordinary economic voting behavior in the extraordinary election of Adolf Hitler." The Journal of Economic History 68, no. 4 (2008): 951-996.
• Kroslak, Daniel. "Nuremberg Laws." The Lawyer Quarterly.-ISSN 8396 (1805): 184-194.
• Lutz, Brenda Davis. "Gypsies as Victims of the Holocaust." Holocaust and Genocide Studies 9, no. 3 (1995): 346-359.
• Monroe, Kristen Renwick. "Cracking the code of genocide: The moral psychology of rescuers, bystanders, and Nazis during the Holocaust." Political Psychology 29, no. 5 (2008): 699-736.
• Moses, A. Dirk. "An antipodean genocide? The origins of the genocidal moment in the colonization of Australia." Journal of Genocide Research 2, no. 1 (2000): 89-106.
• Moses, D., & Stone, D. (Eds.). (2013). Colonialism and genocide. Routledge.
• O’Byrne, Darren. "Perpetrators? Political civil servants in the Third Reich." In Perpetrators and Perpetration of Mass Violence, pp. 83-98. Routledge, 2018.
• Pohl, Dieter. "The Holocaust and the concentration camps." In Concentration Camps in Nazi Germany, pp. 161-178. Routledge, 2009.
• Power, Jonathan. "Heinrich Himmler, Hitler’s Deputy–From Boyhood to Chief Murderer of the Jews." In Ending War Crimes, Chasing the War Criminals, pp. 13-18. Brill Nijhoff, 2017.
• Rippon, Anton. Hitler's Olympics: The Story of the 1936 Nazi Games. Pen and Sword, 2006.
• Robinson, Shirleene, and Jessica Paten. "The question of genocide and Indigenous child removal: the colonial Australian context." Journal of Genocide Research 10, no. 4 (2008): 501-518.
• Rogers, Thomas James, and Stephen Bain. "Genocide and frontier violence in Australia." Journal of Genocide Research 18, no. 1 (2016): 83-100.
• Short, Doctor Damien. Redefining genocide: Settler colonialism, social death and ecocide. Zed Books Ltd., 2016.
• Steinacher, Gerald J. "The Betrayal: The Nuremberg Trials and German Divergence Kim Christian Priemel." (2018): 123-124.
• Torrens, Robert. Colonization of south Australia. Longman, Rees, Orme, Brown, Green, and Longman, 1836.
• Wakefield, Edward Gibbon. A view of the art of colonization, with present reference to the British Empire. JW Parker, 1849.

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All Thing Are Too Small: Essays in Praise of Excess - It all gets a bit too much in the end

Becca rothfeld’s collection is energetic and charmingly verbose, but her tendency to demystify everything wears thin.

Becca Rothfeld: Moments of clear insight and great beauty

Towards the end of All Things Are Too Small, Becca’s Rothfeld’s defence of maximalism, she reproduces a quotation that she has “so thoroughly digested and metabolised” that it is now an essential fixture of her “mental repertoire”.

“I love a demystified thing inordinately.”

Yes, I thought, that’s it. That’s the problem with this book: Rothfeld’s tendency towards such relentless demystification of her subjects that they’re pallid and lifeless by the time she’s through.

This is not true of all the essays in the collection. It opens promisingly and with astounding energy and vigour. Initially, one forgives Rothfeld’s immediately evident habit of making grand, inaccurate statements, such as: “Desire is as good a guide to truth as anything else.” If anything, her verbosity and inexactitude seem charming – she’s wrong because she’s passionate. Reading, I felt myself at a dinner table surrounded by voices stridently debating all manner of interesting things: literature, meaning, mindfulness, feminism, sex, sex and more sex (to give an idea of the topics of these essays).

The End of Everything by Victor Davis Hanson: Splendid and compulsively readable despite one weakness

Mouthing by Orla Mackey: An engrossing and adept work of fiction about a rural Irish community like any other

‘I miss my solitude’: Booker winner Paul Lynch says he is a ‘social introvert’

The Eastern Front: A History of the First World War by Nick Lloyd: A compelling and authoritative read

My God, though, did I want that dinner to end, so I could return somewhere peaceful and reflective, to cease the ringing in my ears of all this terribly intelligent demystifying. The humour, too, wears thin. Yes, it’s hilarious to mock the bourgeois aesthetic of Marie Kondo (I laughed aloud at “the declutterer dreams of a house without f**king or sh**ting”), but by the end of the collection, these knowing asides and the unremitting sarcasm made me feel like I was trying to converse with a surly, unimpressed teenager.

Also, Rothfeld’s attempts at love-writing made me physically cringe. At one point, she tells us that her husband loves reading so much, he does so in the shower. The impossible logistics of this image will never, I fear, cease to irritate me.

Yet, there are moments of clear insight, and of great beauty. Rothfeld’s capacious vocabulary left me stunned, and exquisite phrases such as “the gleaming purity of a history” almost made up for her agonising attempts at poeticism.

“The night was cool as mint. Behind him, the light from the streetlamp became butter melting. His voice was flat and nasal, mouthy as saltwater toffee.”

Ultimately, this collection’s great weakness is that these pieces have been gathered into a collection at all. I can see that, taken one at a time, Rothfeld’s tone would be pithy and gratifying, and these qualities would make up for her prolix, excessive demystification and broad, questionable statements. Alas, reading her thoughts over and over, all in a row, I grew frustrated, tired and harried. By the end, I wanted to leave the dinner party, to run out into the street, to regain the relief of a little mystery.

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Louisiana high school grads explore good, bad aspects of social media through essays

S HREVEPORT, La. ( KTAL/KMSS ) – A group committed to providing financial assistance to college-bound students held an event on Saturday afternoon where students presented essays exploring the pros and cons of social media.

The African American Scholarship Committee has provided financial assistance through scholarships for graduating seniors in Shreveport, Bossier, and DeSoto Parish for 36 years. The committee was founded by Katie Latin who serves as director. Her son Ken Latin is the co-founder and chairman.

The graduates gathered at the Wallette Branch of the Shreve Memorial Library on June 1 to present essays to their peers, family members, committee members, and guests.

Scholarship recipients will enroll in an array of colleges and universities including Xavier University, ETBU, UL, Northwestern State University, ULM, and LSU to pursue degrees in fields ranging from health sciences to theological pursuits.

In previous years students explored how the COVID-19 pandemic affected their senior year of high school. This year’s 300-word offering asked the students to consider, “Does social media do more bad than good,” a subject that each of the 16 presenters should be considered subject matter experts in.

One by one students were called up to share their perspectives on the matter. The scholars made excellent arguments that highlighted social media benefits like the ability to broaden your horizons by learning history long omitted from public school curricula, the ability to stay connected to distant relatives, news gathering, heightened social awareness, and the potential to make money through promoting a personal brand or showcasing talent and skills.

Oppositely the teens were keenly aware and perhaps affected by the negative aspects of engaging on social media. They shared cautionary tales for older people in the audience who could be targeted by scammers, peer pressure, cyberbullying, body image issues, and the loss of privacy.

One student noted statistics like 50% of social media users have reported feeling lonely while 37% have admitted to having FOMO (fear of missing out).

Whether their stance was in favor of social media use, or presented the potential for physical harm or psychological damage all of the young presenters agreed that users should be vigilant and aware, because social media will be with us for a long time.

“How can you resist something that is becoming a necessity,” one essay contest participant pondered as she concluded her presentation.

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