Histoire et quantification de l'éducation et de la formation
Bibliographic record
Abstract
La journée d'études « Histoire et quantification de l'éducation et de la formation », coorganisée par la revue Histoire & Mesure, le Centre de recherches historiques (UMR 8558 CNRS-EHESS) et l'université Paris 13, vise à dresser un bilan des nouvelles directions de la recherche et du renouvellement des méthodes employées en histoire de l'éducation et de la formation. La journée d'études permettra de mettre en lumière la diversité des approches proposées par l'histoire des politiques éducatives, l’histoire des disciplines ou par l’étude des profils d’étudiants ou d’enseignants, dans une perspective internationale portant sur l'Europe (France, Belgique, Luxembourg, Pays-Bas, Roumanie, Hongrie, Grande-Bretagne) et l’Amérique du Nord (États-Unis et Québec).
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".