Suivre les évolutions du travail et de la santé : EVREST, un dispositif commun pour des usages diversifiés
Bibliographic record
Abstract
Le dispositif Evrest (Évolutions et RElations en Santé au Travail) est un observatoire pluriannuel par questionnaire, construit en collaboration par des médecins du travail et des chercheurs, pour pouvoir analyser et suivre différents aspects du travail et de la santé de salariés. Il vise à constituer une base nationale, sur un échantillon de salariés, pour des travaux à caractère scientifique, mais aussi à permettre à chaque médecin (ou à des médecins qui se coordonneraient) d’utiliser Evrest au-delà de l’échantillon national en fonction de ses préoccupations. Sa construction s’inscrit dans un processus visant à rendre compatibles des exigences propres à chacun de ces « mondes » professionnels. Elle passe par la création et le partage d’« objets », partage dans lequel chacun « retrouve son compte », mais aussi par l’élaboration progressive de formes nouvelles de coordination et d’échanges.
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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".