L’insertion professionnelle en enseignement : Validation d’un modèle inspiré de Bronfenbrenner
Bibliographic record
Abstract
En éducation, la transition de la formation à la pratique professionnelle demeure un phénomène complexe. Nous avons donc entrepris de tester un modèle de l’insertion professionnelle en enseignement inspiré de celui de Bronfenbrenner. Ce modèle situe le novice au centre de systèmes concentriques et a inspiré six hypothèses que nous avons testées. Trois institutions ont pris part à ce projet, soit les HEP BEJUNE, de Fribourg et du Valais. Un échantillon de 186 novices a répondu à un questionnaire au printemps 2006. La modélisation d’équations structurelles a permis de tester les relations entre des variables touchant à la perception de compétence, aux conditions de travail, à la formation initiale et au succès perçu de l’insertion. Nos résultats soulignent l’importance des conditions à l’embauche et de la satisfaction au travail sur la perception du succès de l’insertion et l’engagement à l’école.
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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 | 0.021 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".