Bibliographic record
Abstract
Cet article présente la seconde partie des résultats d’une recherche-action et une synthèse sur la manière dont l’Université de l’Ontario français (UOF) peut opérationnaliser son désir d’innover et de baser ses pratiques pédagogiques sur la recherche en utilisant une certaine forme d’approche par compétences (APC) comme méthode de programmation pédagogique. On y trouve une clarification sur la notion de compétence et sur l’approche par compétences adoptée par la direction de l’UOF. Sont présentées aussi les différentes démarches à assurer dans le processus d’élaboration des programmes universitaires à l’UOF, notamment l’identification des compétences, la structuration des programmes, l’alignement constructif (cohérence entre les apprentissages visés, les tâches d’apprentissage et les indicateurs de réussite), l’identification des trajectoires de développement, une pédagogie de la progression et le transfert des compétences.
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 | 0.019 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.010 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".