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Record W2937987902 · doi:10.4000/books.pufr.11099

Les requis pour le travail obligatoire et la langue allemande : entre mutisme, utilisation et réappropriation

2012· book-chapter· fr· W2937987902 on OpenAlexaff
Patrice Arnaud

Bibliographic record

VenuePresses universitaires François-Rabelais eBooks · 2012
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsCanadian Historical Association
Fundersnot available
KeywordsGermanComplicityAppropriationPoliticsDistrustPolitical scienceSociologyHumanitiesLawArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

From 1942 to 1945, some 600,000 French nationals were sent to the German Reich for forced labour. What was their attitude regarding the need to speak or translate German? Accounts and archive sources drawn upon in this piece have led to our claim that being mostly of working class backgrounds, the deported rarely knew any German. Forced abroad, their reaction was to refuse speaking the enemy’s language, notably in the factories, where a lack of understanding (often simulated) meant orders were delayed or bypassed, all while translators were suspected to be traitors. Refusing to speak also conforms, within the national community, to an attitude of withdrawal and, shown by some, of distrust – or even hostility – towards the German population. Soon, however, many changed their attitude as they realised that speaking gave them the necessary power to be able to express themselves or make a request. Notably, they were able to communicate with their colleagues with whom they developed a sense of complicity, be it political or idyllic, and they could make the most of leisure activities such as film-viewing or, for the most educated who were able to master the basics of the language, discovering another cultured Francophile Germany hiding behind the façade of the Third Reich.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.019
Scholarly communication0.0070.005
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.029
GPT teacher head0.269
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2012
Admission routes1
Has abstractyes

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