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Coming to terms with the past in postwar literature and philosophy

2002· book-chapter· en· W954558792 on OpenAlexaboutno aff
Robert C. Holub

Bibliographic record

VenueCambridge University Press eBooks · 2002
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhilosophy, History, and Historiography
Canadian institutionsnot available
Fundersnot available
KeywordsGermanRefugeeBattlefieldWorld War IIEconomic historyGerman reunificationHistoryGerman populationPolitical sciencePopulationQuarter (Canadian coin)NazismNazi GermanyAncient historyLawDevelopment economicsSociologyDemography

Abstract

fetched live from OpenAlex

From 1945 until at least reunification in 1989 German intellectual and cultural life, including philosophy and literature, was dominated by the endeavour to come to terms with the past. At the conclusion of its second military defeat in less than three decades, Germany was morally exhausted and physically devastated. In contrast to the First World War, when Germany surrendered before it was invaded by foreign armies, the Second World War brought tremendous losses for Germans both on the battlefield and at home. Three and a half million German soldiers lost their lives fighting for Adolf Hitler and his Reich, and just as many civilians perished; ten million German soldiers were taken as prisoners of war, some never to return. The economic destruction was immense: Germany, reduced in size by about a quarter, experienced a loss of about a third of its national wealth, along with fifteen percent of its available housing. Hardest hit were the major cities, which were the primary targets in the Allied air attacks. Shortly after the end of hostilities another pressing problem arose: the refugees from the East began pouring into a country that could not even take care of its own population. It is estimated that up to twenty-five million Germans lost their homes because of evacuation, flight or bombing. The situation was most dire in the eastern portions of Germany, where the battles between the German and the invading Soviet armies had been severely contested.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.157
Teacher spread0.138 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2002
Admission routes1
Has abstractyes

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