Plan d’enseignement individualisé dans les écoles de l’Ontario: analyse de cas des enfants surdoués et d’enfants en troubles d’apprentissage
Bibliographic record
Abstract
Selon le Règlement 181/98 de la Loi sur l’éducation de l’enfance en difficulté en Ontario, tous les élèves identifiés comme ayant une anomalie doivent recevoir une education appropriée selon leurs besoins. Ce Règlement, intitulé Identification et placement des élèves en difficulté, exige que les écoles de la province préparent un plan d’enseignement individualisé (PEI) pour ces élèves afin d’atteindre les objectifs d’apprentissage du nouveau curriculum scolaire de la province. Un PEI est obligatoirement élaboré suite à une évaluation du comité d’identification, de placement et de révision (CIPR), qui identifie l’anomalie de l’élève en difficulté. Ce même comité détermine également le placement de l’enfant, comme par exemple la classe pour l’enfance en difficulté (classe spéciale), la classe ordinaire ou autre.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".