L'expérience de transition professionnelle des enseignants de migration récente au Québec
Bibliographic record
Abstract
Cet article presente les resultats d’une recherche qualitative qui vise a decrire et a comprendre l’experience de transition professionnelle des enseignants de migration recente au Quebec. L’analyse phenomenologique des donnees recueillies au moyen d’entrevues semi-dirigees aupres de 13 enseignants de migration recente oeuvrant a Montreal et a Sherbrooke montre que ces enseignants font face a des defi s d’adaptation au nouvel environnement socioculturel et a des diffi cultes d’integrer la profession enseignante au Quebec. Lorsqu’ils trouvent du travail, aucune mesure formelle d’accueil ou d’accompagnement n’est mise en place pour faciliter leur integration. Cependant, la maitrise du francais, diverses strategies d’adaptation et le soutien de l’equipe-ecole constituent des facteurs favorables a leur transition professionnelle.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".