La communauté d’apprentissage professionnelle
Bibliographic record
Abstract
Si un consensus se forme autour des valeurs inherentes a l’inclusion scolaire et a la differenciation pedagogique, il semble qu’il soit plus difficile de les actualiser. D’aucuns preconisent alors d’offrir de la formation. Cet article vise a comprendre en quoi le travail en communaute d’apprentissage professionnelle constitue une approche de developpement professionnel pour les enseignantes et enseignants desireux de participer a l’inclusion et la differenciation. L’article fait etat d’une recherche menee dans une ecole primaire du Quebec sur une periode de quatre annees. Les resultats montrent que la CAP participe au developpement professionnel axe sur des pratiques d’inclusion et de differenciation en donnant lieu a une regulation de l’enseignement pour repondre aux besoins de tous les eleves.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 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; 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".