Les attitudes d’enseignants du secondaire envers la Politique québécoise de l’adaptation scolaire
Bibliographic record
Abstract
Dans le cadre d’une recherche portant sur l’evaluation de la Politique quebecoise de l’adaptation scolaire, les representations d’enseignants du secondaire (langues, sciences et mathematiques) envers cette politique favorisant l’inclusion scolaire des eleves en difficulte d’adaptation et d’apprentissage ont ete analysees. Pour ce faire, des enseignants ont ete interroges a l’aide d’un questionnaire. Ce questionnaire a ete soumis a 246 enseignants d’ecoles secondaires du Quebec (enseignants reguliers ou specialises). Les resultats indiquent que les enseignants, en general, sont tres critiques face a la politique de l’adaptation scolaire et que celle-ci recueille peu d’adhesion. Ils soulignent le manque de ressources et les limites a l’inclusion totale des eleves en difficulte d’adaptation ou d’apprentissage (EDAA). La majorite s’entend sur une limitation des eleves en difficulte d’adaptation ou d’apprentissage (EDAA) dans les classes ordinaires. Toutefois, les enseignants reconnaissent certains aspects positifs a cette reforme (modeles sociaux, pratiques pedagogiques). Des differences significatives sont observees entre les enseignants travaillant en classe ordinaire et ceux de classe specialisee.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".