L’expérience d’élèves en difficulté en éducation physique et sportive : analyse d’une activité mise en souffrance
Bibliographic record
Abstract
Dans cet article, nous nous intéressons à des élèves en difficulté en éducation physique et sportive mais qui réussissent dans les autres disciplines. Nous cherchons à comprendre le sens de leur expérience en éducation physique et sportive, ainsi que le processus par lequel ils ont construit un rapport au savoir, source d’empêchement de leur activité d’apprentissage. Nous avons recouru à une analyse de l’activité réelle de deux élèves lors d’un cycle de volley-ball en nous référant à l’approche clinique de l’activité. Nos résultats montrent que l’activité de ces élèves en éducation physique et sportive est une activité mise en souffrance, interdisant leur développement. Les éléments explicatifs de cette expérience négative sont à chercher du côté des élèves, mais aussi du côté des pratiques enseignantes. Ils invitent à modifier le regard porté sur l’action éducative.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".