La formation d’enseignants entre utilitarisme et cycles de Don : illustration en éducation physique
Bibliographic record
Abstract
La formation des enseignants est généralement conçue en termes de transmission/construction utilitaire de connaissances et de compétences, et les formateurs valorisent le plus souvent l’adhésion, au moins formelle, à une logique utilitariste. Cependant, certains faits significatifs ne sont pas explicables dans cette logique. Ces faits sont analysés à partir de la théorie du Don dans des cas d’aide spontanée et des dispositifs de conseil chez des étudiants, des enseignants stagiaires et des formateurs. L’analyse montre que la nature des liens de confiance ou de défiance qui se tissent entre formateurs et formés pourrait avoir une influence dans la formation des enseignants. Ces liens permettent la réalisation de cycles de don ou de vengeance qui autorisent ou non le transfert de connaissances chez les enseignants nouveaux venus.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 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".