Directions et futures directions d'école franco-canadienne : sentiment d'efficacité personnelle de leurs compétences pour gérer une école en contexte de valorisation linguistique et culturelle
Bibliographic record
Abstract
Peu d’etudes tentent d’evaluer le sentiment d’efficacite personnelle des directions et futures directions (directions adjointes) d’ecole en milieu de valorisation linguistique et culturelle et pourtant, il s’avere essentiel de connaitre leur niveau de competence afin de leur offrir du developpement professionnel qui sied a leurs besoins. Dans notre etude quantitative, 213 directions et futures directions d’ecole franco-canadiennes ont participe en repondant a un questionnaire. Les resultats significatifs au test Mann-Whitney indiquent des differences entre les deux groupes : 1- les directions d’ecole ayant six ans et plus d’experience a la direction 2- les futures directions (directions adjointes) et les directions d’ecole ayant cinq ans et moins d’experience a la direction et ce, pour certains items de cinq categories de competences sur sept : Gestion des ressources humaines, Supervision pedagogique, Tâches administratives, Changement et innovation, et Sentiment d’appartenance.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| 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".