La collaboration entre directions d’établissement scolaire et enseignant·e·s : un levier essentiel pour favoriser la réussite des élèves
Bibliographic record
Abstract
Les directions d’établissement scolaire (DÉS) favorisent la réussite éducative des élèves en collaborant avec les membres du personnel enseignant. Une recherche qualitative, utilisant le modèle de leadership pédagogique (instructional leadership) d’Hallinger (Hallinger et Wang, 2015) comme cadre de référence, a été menée pour identifier et décrire les pratiques mises en œuvre par ces directions. Les propos recueillis auprès de 18 DÉS du primaire, toutes issues d’un même centre de services scolaire, ont permis d’enrichir ce modèle de leadership. Ces témoignages ont également conduit à revoir ce modèle en mettant en lumière les domaines de responsabilité de la direction du primaire dans un contexte québécois, selon une logique d’action intégrée.
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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 | 0.012 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.009 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".