Le choix de la langue d’enseignement au cégep chez les élèves issus de l’immigration scolarisés en français au secondaire québécois
Bibliographic record
Abstract
« Les enfants de la loi 101 » réfère généralement aux jeunes issus de l’immigration (1re et 2e générations), quelle que soit leur langue maternelle. Ces jeunes semblent favoriser davantage le français comme langue d’enseignement au cégep que ne le laisse croire la donnée officielle, qui ne porte que sur les allophones. Grâce à la nature longitudinale des données utilisées, nous analysons la variation de leur choix linguistique en fonction de caractéristiques comme la génération, l’origine géographique, la langue maternelle/d’usage et la localisation résidentielle. De plus, nous examinons le maintien ou non au niveau universitaire du choix linguistique au cégep avant d’étudier l’existence de liens possibles entre la persévérance scolaire et le choix de la langue d’enseignement au cégep.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".