Dominique Bréchemier, Nicole Laval-Turpin (dir), Les femmes de l’Entre-deux-guerres. Quels chemins vers la notoriété ?
Bibliographic record
Abstract
Les 18 et 19 septembre 2014, s’est tenue à Orléans la quatrième édition du colloque « Femmes des lumières et de l'ombre », qui se propose chaque année « d’ouvrir le grand livre des femmes de l’Entre-deux-guerres » (p. 9). Les actes du colloque sont réunis dans cet ouvrage par Dominique Bréchenier et Nicole Laval-Turpin. Cette mise en lumière de portraits féminins revendique une volonté de « rétablir l’équilibre » (p. 9) qui assume la lignée d’une classique première histoire des femmes. Présid...
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".