Le programme Passeurs culturels pour les futures enseignantes et les futurs enseignants de l’Université de Sherbrooke : un mariage heureux entre les arts, la culture et l’éducation
Bibliographic record
Abstract
En 2017, trois ans après l’adoption de sa Politique institutionnelle des arts et de la culture, l’Université de Sherbrooke a vu naître sur son campus le programme Passeurs culturels. Cette formule originale d’accompagnement et de recherche offre aux futures enseignantes et aux futurs enseignants de la Faculté d’éducation l’accès à des spectacles d’arts vivants, des expériences de médiation culturelle et le réinvestissement par des activités pédagogiques dans certains cours. Après quatre phases d’enquête qui ont permis d’analyser les retombées du programme sur les personnes impliquées et de brosser un portrait des pratiques culturelles et des conceptions de la culture chez le futur corps enseignant, les résultats confirment l’apport d’un tel programme sur la progression du rapport personnel et pédagogique à la culture.
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 | 0.009 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.006 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.025 | 0.003 |
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".