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Record W4246958405 · doi:10.1017/cbo9780511977060.002

Introduction

2011· book-chapter· en· W4246958405 on OpenAlexaff
Peter Hoffmann

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsMcGill University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Carl Friedrich Goerdeler, born in 1884, witnessed the increasing turmoil that enveloped Jews in Eastern Europe during and after the First World War. He engaged in efforts to influence the fate of the Jews from the moment when Adolf Hitler was appointed chancellor in Germany in 1933. The events leading up to this sea change in German politics formed a part of Goerdeler's political and social consciousness. When in October 1918 the German Empire could no longer withstand the overwhelming numbers of fresh American troops and their vastly superior quantities in weaponry and munitions, the imperial government addressed its request for an armistice to the American president Woodrow Wilson and invoked the Fourteen Points that he had declared as his basis for peace. The president replied that an armistice would be granted on condition that the monarchies were removed and a representative government put in place. Secretary of State Robert Lansing signed the final note of 23 October 1918 that contained this condition. On the following day, the leading German newspapers published the full text of Lansing's note on their front pages. Soldiers and socialists mounted demonstrations and other means of pressure, which by 9/10 November resulted in the departure of Emperor William II into exile in Holland, and in the abdications of his German brother monarchs. A temporary government, the Council of People's Commissars, presided over the withdrawal of the imperial armed forces from occupied territories, the evacuation of territories the enemies were going to annex, the military occupation of additional German territories, and the handing over of thousands of units of railway rolling stock including 5,000 locomotives, and most of Germany's artillery and other weapons, aeroplanes, submarines.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.517
Threshold uncertainty score0.737

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0060.004
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.4830.300

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 head0.039
GPT teacher head0.212
Teacher spread0.173 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

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

Explore more

Same venueCambridge University Press eBooksSame topicEuropean history and politicsFrench-language works237,207