« Basculement vers le virtuel »
Bibliographic record
Abstract
La présente contribution examine, à partir de leurs déclarations rétrospectives, la manière dont 50 enseignants issus de 5 facultés/filières (Sciences appliquées, Psychologie, Sciences, Histoire, Sciences politiques) ont assuré, pour un cours défini, la « continuité de l’activité académique » à la suite du confinement COVID-19 de mars 2020. Les résultats suggèrent, d’une part, que le caractère exceptionnel des circonstances affrontées a pris le dessus sur la variété des réponses pédagogiques apportées et, d’autre part, que, dans le tumulte apparent lié à la pandémie, l’université est malgré tout parvenue à amortir les effets de cette perturbation de grande envergure. L’article confronte ces observations à l’avis des étudiants sur les mêmes 50 cours. Il en ressort là aussi une vision des bouleversements moins négative que ce que l’ampleur du « basculement vers l’enseignement virtuel » aurait pu laisser présager.
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 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 | 0.021 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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 teacher head, 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".