I.6. Une correspondance sur Pierre Laval et la rafle du Vél’ d’Hiv en 1967
Bibliographic record
Abstract
La Grande Rafle du Vel d’Hiv by Claude Levy and Paul Tillard was published in May 1967. This inquiry about the roundup that took place in Paris on July 16, 1942 caused a sensation (enthusiastic press, strong sales, etc.). What it revealed shocked public opinion—especially the role the Vichy head of government, Pierre Laval, played in handing over thousands of Jewish children born in France to the Nazis. For the first time, the anti-Semitic crimes of the Petainist regime were widely covered by the media. Laval’s son-in-law, Rene de Chambrun, was incensed by the book and wrote to one of the authors, Claude Levy. Levy responded. These letters showcased the revisionist rhetoric about Vichy’s anti-Jewish policy that was popular in 1967. At the time, new information was emerging thanks to researchers who saw it as their role to speak on behalf of the victims. This article provides a historical context to these letters and examines this period, which had a pivotal effect on both history and memory.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".