Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ce texte présente un portrait à la fois synthèse et critique de la question des MOOC (massive open online courses) ou les CLOM (cours en ligne ouverts et massifs) en enseignement universitaire. Nous présentons d’abord l’historique de cette innovation en pédagogie universitaire, les principaux acteurs universitaires impliqués dans la création de MOOC, la question de la gratuité réelle de cette nouvelle tendance, puis les composantes des MOOC. Nous traitons aussi de la pédagogie à des supergroupes : comment enseigne-t-on à plus de 100 000 étudiants? La question des méthodes et techniques d’évaluation, puis celle des MOOC dits connectivistes sont aussi abordées. À partir d’une recension de quelque 100 écrits, une synthèse des résultats de recherche sur la question vient clore ce manuscrit.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.201 |
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 it