L’école à l’heure de la COVID-19 : des constats de pratiques vers une nouvelle forme scolaire ?
Bibliographic record
Abstract
L'école à l'heure de la COVID-19 : des constats de pratiques vers une nouvelle forme scolaire ?Formation et profession 30(1) 2022 • 1 ésumé Cette recherche a pour objectif de mettre en valeur l'adaptation des pratiques enseignantes et de l' organisation scolaire à l' épreuve de la COVID-19.À la suite de la rédaction d'un cahier journal tenu par une enseignante de CM1-CM2, axé sur six dimensions, les analyses qualitatives mettent en exergue : un ajustement et une innovation des pratiques, des valeurs professionnelles ayant un rôle dans le maintien de son identité professionnelle ; un basculement vers des pratiques instrumentées innovantes inclusives.La question de la continuité-discontinuité des pratiques est au cœur de la réflexion.
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 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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.029 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.017 | 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".