Établir un environnement favorable aux REL dans une université canadienne bilingue
Bibliographic record
Abstract
Plus grande université bilingue (anglais-français) au monde, l'Université d’Ottawa s’est engagée dans son plan stratégique Transformation 2030 à promouvoir et récompenser la création de ressources didactiques abordables et à développer des ressources éducatives libres en français. S’appuyant sur les initiatives existantes en matière de libre accès et d’apprentissage en ligne à uOttawa, le Groupe de travail sur le matériel didactique libre a proposé des recommandations pour guider les activités soutenant l’éducation ouverte et l’abordabilité des manuels scolaires. Dans un premier temps, nous offrirons une brève mise en contexte de l’Université pour ensuite présenter les quatre catégories de recommandations du groupe de travail. Enfin, nous terminerons avec des exemples concrets de projets en cours dirigés ou soutenus par la Bibliothèque.
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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 | 0.014 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.024 | 0.007 |
| Scholarly communication | 0.018 | 0.007 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".