Les bases de l'éducation ouverte et des REL, rôles des binômes
Bibliographic record
Abstract
Ce document a été présenté lors d'un atelier le 15 mai 2023 qui s'adressait aux bibliothécaires et conseillers et conseillères en pédagogie universitaire de l'Université Laval. On y présente les informations de base sur l'éducation ouverte et les ressources éducatives libres, ainsi que le rôle des binômes CP/Bib dans le soutien à la création de ressources éducatives libres. La présentation a été faite par Marilou Bourque, nouvelle bibliothécaire spécialisée en éducation ouverte à l'Université Laval et membre de la fabriqueREL et Claude Potvin, conseiller en pédagogie universitaire à l'Université Laval, attitré à la fabriqueREL.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.026 |
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; both teacher heads agree on what is shown here.
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".