Des nouveaux·elles enseignant·e·s issus·e·s de l’immigration négocient leur place dans la culture enseignante de leur école
Bibliographic record
Abstract
Les nouveaux·elles enseignant·e·s issu·e·s de l’immigration sont de plus en plus présente·s dans les écoles canadiennes, assurant une plus grande représentativité du corps enseignant auprès des élèves aux référents ethnoculturels diversifiés. Des nouveaux·elles enseignant·e·s issu·e·s de l’immigration, des enseignant·es-mentors et des directeur·rice·s d’école, lors d’entretiens de recherche semi-dirigés, ont partagé leurs perceptions à propos des obstacles qui ponctuent le parcours d’intégration de ces nouveaux·elles enseignant·e·s dans la culture enseignante des écoles de l’Ontario français. Les défis rencontrés de même que les négociations nécessaires au processus d’acculturation des nouveaux·elles enseignant·e·s issu·e·s de l’immigration à la profession enseignante font l’objet de cet article.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".