Influences et répercussions de la pandémie sur les apprentissages et le parcours universitaire des étudiant·e·s aux cycles supérieurs en sciences de l’éducation : retour d’expérience de trois doctorantes
Bibliographic record
Abstract
Influences et rpercussions de la pandmie sur les apprentissages et le parcours universitaire des tudiantes aux cycles suprieurs en sciences de l'ducation : retour d'exprience de trois doctorantes Formation et profession 28(4 hors-srie), 2020 sum Lors de cette pandmie mondiale sans prcdent, le domaine de l' ducation a t particulirement touch alors que les tablissements d' enseignement n' ont eu d'autre choix que de fermer leurs portes en prsentiel plus de 1,6 milliard d'apprenantes et 60 millions d' enseignantes travers le monde. Les tablissements universitaires n'y faisant pas exception, les influences et les rpercussions sont notables chez les tudiantes universitaires, entre autres chez les tudiantes aux cycles suprieurs en sciences de l' ducation. Dans ce retour d' exprience de trois doctorantes, trois axes phares ont t tablis : la sant psychologique, les conditions de travail et les tches.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".