Bien-être scolaire et relations sociales des collégien·ne·s au temps de la COVID-19
Bibliographic record
Abstract
Lors du premier déconfinement en France, dans le contexte de la pandémie de la COVID-19, une enquête en ligne auto-administrée, portant sur le bien-être subjectif, a été renseignée par des collégien·ne·s revenus au collège en France (fin primaire et début secondaire – entre 11 et 14 ans – dans le système canadien) à partir du 18 mai 2020 et d’autres restés à domicile pour suivre leur scolarité. Les 286 retours exploitables rendent compte des différences significatives du vécu scolaire des deux groupes en termes de relations sociales notamment qui ont été basculées par le principe de « distance sociale ». Les premières conclusions confirment les résultats des travaux menés sur le bien-être des élèves et révèlent de nouveaux éléments à considérer dans la mesure du bien-être subjectif des élèves.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".