Améliorer la collaboration entre les milieux scolaire et de réadaptation : besoins des intervenants
Bibliographic record
Abstract
Différents auteurs ont écrit sur la nécessité pour les milieux de la santé, scolaire et familiaux de collaborer ensemble pour la réussite éducative de l’enfant présentant une déficience, un problème de santé ou une difficulté scolaire. Ces auteurs notent que les intervenants des milieux de la santé et scolaire ont des expertises différentes. Or, certains intervenants stigmatisent ces différences comme sources des difficultés à collaborer. L’étude présentée dans cet article porte sur les besoins identifiés par des intervenants des commissions scolaires de l’Estrie et ceux du Centre de réadaptation de l’Estrie relativement à leur collaboration. L’analyse des propos des participants a permis non seulement de répertorier leurs besoins, mais également de proposer des pistes de solution.
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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 | 0.026 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.004 | 0.003 |
| 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".