Les préoccupations des élèves durant des tâches d’apprentissage coopératives et compétitives en badminton : une étude de cas
Bibliographic record
Abstract
Cet article propose une analyse des préoccupations de collégiens français en relation avec la structure coopérative ou compétitive de tâches d’apprentissage du badminton en éducation physique. La recherche prend appui sur le cadre théorique et méthodologique du cours d’action. Les données recueillies et analysées concernent l’activité de deux élèves. Les résultats sont présentés et discutés autour de deux thèmes : 1) les relations entre les préoccupations des élèves et la structure des tâches, et 2) les éléments régulateurs de la dynamique des préoccupations des élèves durant ces tâches. Le texte ouvre sur des orientations de recherche futures et des perspectives pédagogiques originales.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".