Quand la continuité pédagogique conduit à la réussite : Étude de cas
Bibliographic record
Abstract
Quand la continuité pédagogique conduit à la réussite : Étude de cas Formation et profession 28(4 hors-série), 2020 • ésumé Face à l' épidémie de la COVID-19, le gouvernement français a fermé les écoles et mis en place la continuité pédagogique.Cette forme de scolarisation inédite a considérablement changé la situation.Nombreux sont ceux ayant souligné leurs inquiétudes envers les difficultés que celle-ci a générées chez les élèves.Sans minimiser cet état de fait, nous voulons observer le cas de certains élèves qui ont, contre toute attente, réussi durant la continuité pédagogique.Notre approche didactique clinique (Terrisse et Carnus, 2009, Carnus et Terrisse, 2013) cherche à comprendre la singularité des sujets.Notre discussion cherche à expliquer et comprendre ce qui s' est joué pour ces élèves.
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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 | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.011 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".