Vers un modèle de cohérence entre formation pratique et formation théorique
Bibliographic record
Abstract
Cette recherche a comme objectifs d'explorer une avenue possible de mise en oeuvre d'un modèle de formation à l'enseignement et de discerner des paramètres susceptibles d'assurer une cohérence entre la formation pratique et la formation théorique. Durant l'année 1995-1996, la participation d'un groupe d'étudiants de l'Université d'Ottawa inscrits à la formation à l'enseignement à l'élémentaire, d'enseignants associés et de professeurs d'université, a permis de mettre à l'essai des moyens facilitant une intégration reflexive chez les étudiants. De cette expérience, il ressort que la mise en oeuvre d'un modèle requiert la collaboration des divers intervenants, que l'apprentissage d'une profession remet en question bien plus que des connaissances et que le changement de statut professionnel exige que l'étudiant apprenne à gérer son apprentissage.
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 | 0.021 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.024 |
| Scholarly communication | 0.014 | 0.024 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 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".