Le discours québécois sur les relations entre l’école et les familles issues de l’immigration : un état de la question
Bibliographic record
Abstract
L’article fait le point sur la documentation scientifique et de vulgarisation qui traite des rapports entre l’école québécoise et les familles issues de l’immigration. Il met en lumière dans une perspective comparative les discours des différents acteurs relatifs aux rôles attendus de la part de ces familles et de l’école au regard des trois missions attribuées au système d’enseignement québécois : instruire, socialiser, qualifier. Les résultats montrent que la mission d’instruction n’est pratiquement pas considérée par les chercheurs, alors que la mission de socialisation est étudiée selon l’angle d’intégration par l’enfant et sa famille à une certaine culture scolaire. Les publications montrent à l’inverse que pour les familles issues de l’immigration les attentes semblent être opposées, leurs préoccupations étant d’abord centrées vers l’instruction comme instrument de réussite sociale. Pour sa part, la question des pratiques d’enseignement est quasi évacuée de l’ensemble des textes analysés.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.015 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".