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 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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.035 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.079 | 0.091 |
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; both teacher heads agree on what is shown here.
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".