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2011· book-chapter· en· W287563643 on OpenAlexaff
Peter Hoffmann

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorld Wars: History, Literature, and Impact
Canadian institutionsMcGill University
Fundersnot available
KeywordsEmigrationVictoryPersecutionPolitical scienceGovernment (linguistics)Economic historyLawFront (military)MultitudeConfusionFace (sociological concept)World War IISoviet unionHistoryPolitical economyPoliticsSociologyGeographyPhilosophy

Abstract

fetched live from OpenAlex

Years of efforts to temper or change the discrimination and persecution policies of Hitler's government, and times of confusion about whether it was the Führer himself or extremist elements that directed the outrages, went by before the multitude of laws and decrees, almost all of them published, left no more doubt about who was responsible. Failed attempts to enlist the British government in endeavours to bring Hitler down or at least force him to give the Jews better terms of emigration; failed plots against Hitler; and a string of Hitler's successes, seemingly unbroken until about November 1941: All this was discouraging yet also confirmed that the military arm was indispensable for regime change, and that military support for a coup d'état was not forthcoming in the face of success. At the end of 1941, however, the regime's situation seemed desperate and more promising for the conspirators. The British Empire, the Soviet Union, and the United States of America were at war with Germany, Italy, and Japan. Neither Japan nor Germany was a match for the resources of America and Russia. Hitler's strategy of waging war on one front at a time had collapsed; reality belied his predictions of victory over the Soviet Union, and his attempt to keep the United States out of the war by holding large numbers of Jews hostage had failed; it could look as though the days of his regime were already numbered.

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 score0.807
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
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.026
GPT teacher head0.222
Teacher spread0.195 · 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
Published2011
Admission routes1
Has abstractyes

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