Faire résultat dans les disciplines contributives des sciences de l’éducation et de la formation : quelles inégalités établit-on ou masque-t-on ?
Bibliographic record
Abstract
Qu’est-ce qui fait résultat en sciences humaines et sociales ? C’est une question particulièrement vive en sciences de l’éducation et de la formation, du fait de la diversité des disciplines contributives et de celle des objets et des orientations théoriques. À partir des recherches sur les inégalités en éducation, l’article interroge d’abord le poids croissant des politiques scientifiques, des appels d’offre et la défiance envers la science. Puis il alerte sur les risques subjectivistes, de réduction des recherches aux perceptions ou aux résultats utiles aux formateurs. Enfin, il propose de dépasser l’émiettement des connaissances, en articulant les disciplines et les approches.
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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 | 0.029 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.016 | 0.032 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".