La formation continue d’enseignants du primaire à des pratiques interdisciplinaires : résultats de recherches
Bibliographic record
Abstract
L'article présente les résultats d'une recherche-action-formation sur les pratiques interdisciplinaires menée en formation continue d'enseignants oeuvrant dans le système scolaire québécois au primaire. Pour contextualiser ces résultats et mettre en relief ses apports vis-à-vis de la formation, leurs auteurs intègrent des données provenant de recherches menées depuis 1990 sur l'interdisciplinarité dans l'enseignement primaire québécois. Les résultats montrent qu'une formation longitudinale comprenant une participation active des sujets les conduit à clarifier les concepts en jeu, à établir des distinctions entre la pratique interdisciplinaire et ses fondements, à appréhender la spécificité de l'interdisciplinarité aux niveaux curriculaire, didactique et pédagogique, et à en concevoir l'utilisation pour soutenir une intégration des processus d'apprentissage et des savoirs chez les élèves.
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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 | 0.018 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".