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Record W578423413

Vichy et le commissariat général aux questions juives : contribution à l'histoire de la Shoah en France : 1941-1944

2004· dissertation· fr· W578423413 on OpenAlexaboutno aff
Laurent Joly

Bibliographic record

Venuenot available
Typedissertation
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Cree en mars 1941, suite a la demande des autorites occupantes, par Darlan, chef du gouvernement de Vichy, le commissariat general aux Questions juives (CGQJ) est l'une des administrations les plus caracteristiques du processus de destruction des juifs d'Europe. Seuls quatre autres pays, allies ou infeodes au IIIe Reich, ont egalement cree des administrations specialisees. Sous l'egide de Xavier Vallat, le CGQJ systematise la politique d'exclusion et met au point les premieres mesures de concentration. Le principe de la deportation des juifs etrangers est acquis des le printemps 1941 et Vallat le defend publiquement a plusieurs reprises. Au debut de l'annee 1942, le CGQJ se trouve marginalise dans la politique generale du gouvernement. Les negociations entourant les rafles de l'ete 1942 se situent au plus haut niveau : le chef du gouvernement Laval et son chef de la Police Bousquet font le choix de livrer les juifs etrangers aux autorites nazies. Le CGQJ n'en continue pas moins de jouer un role important dans la politique de persecution jusqu'a la Liberation, employant au total plus de 2500 agents et controlant environ 17. 000 administrateurs provisoires. Au bout du compte, la France presente l'appareil bureaucratique antisemite le plus structure d'Europe.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score0.523

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.013
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.009
GPT teacher head0.238
Teacher spread0.229 · 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
GenreEmpirical

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
Published2004
Admission routes1
Has abstractyes

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