Bibliographic record
Abstract
La politique de la Relève (juin 1942-juillet 1943) marque un tournant pour l’image des prisonniers de guerre. Les Allemands réclamant de la main-d’œuvre, Pierre Laval voit dans cet échange inégal – un prisonnier pour trois ouvriers – un moyen de conforter la collaboration politique. Neuf campagnes d’affichage, deux brochures, des émissions de radio et des pressions ministérielles incitent les Français à relever les captifs. Les Français ne sont néanmoins pas dupes de cette politique, ainsi que le constate le gouvernement dès l’automne 1942, et le recours au sto se révèle nécessaire. La Relève, évoquée à nouveau lors du procès Pétain, permet également de mesurer la réactivité des prisonniers de guerre face aux accusations de collaboration qui leur sont adressées quelques mois après leur retour en France.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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 teacher head, 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".