Acquisition du savoir-enseigner de nouveaux enseignants en formation professionnelle et technique : comprendre le moment de l’intervention éducative1
Bibliographic record
Abstract
Les enseignants en formation professionnelle et technique vivent généralement une période marquée de transition professionnelle lors de leur entrée dans l’enseignement. Nous avons tenté de montrer comment l’intervention éducative des nouveaux enseignants du Collège communautaire du Nouveau-Brunswick résulte d’un travail de dialectisation d’un ensemble de contextes scolaires, professionnels et personnels. Nous avons adopté une méthodologie mixte alliant une enquête quantitative et des entrevues qualitatives réalisées dans les cinq campus du collège. Nos résultats montrent l’enseignant comme sujet en transition composant un équilibre entre le point de vue du sujet en formation et les multiples contextes où il évolue. Sa transition professionnelle s’articule dans des allers-retours entre construction de compétence et construction identitaire, autour du moment de l’intervention éducative. Nous proposons en ce sens une modélisation de cette articulation pouvant servir à analyser l’intervention éducative dans sa perspective situationnelle.
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 | 0.012 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".