Ségrégation scolaire et différenciation curriculaire au Québec
Bibliographic record
Abstract
Résumé : Cet article présente des résultats préliminaires d’une étude visant à mettre en lumière le contexte de différenciation curriculaire au Québec sous l’angle de la ségrégation scolaire. Ces résultats reposent sur les données liées à 962 élèves de deuxième secondaire placés dans quatre écoles où l’on offre à la fois le parcours régulier et des programmes pédagogiques particuliers. Les résultats révèlent que la majorité des élèves issus des milieux défavorisés ou ayant une cote EHDAA se retrouvent dans les classes du régulier. This publication presents preliminary results of a study that analyses Quebec’s curriculary differenciation context according to school segregation. The results are based on data obtained about 962 students from secondary two coming from 4 schools offering regular and option tracks. Results indicate that the majority of students placed at-risk on the grounds of low SES or misadaptation are placed in the regular track classrooms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.010 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".