Environnement et santé publique - Fondements et pratiques
Bibliographic record
Abstract
L’eau, l’air, la nourriture, le sol, le travail sont autant de « milieux d’exposition » à des contaminants chimiques et microbiologiques, ainsi qu’à des agents physiques dont on continue de découvrir, et à tenter de minimiser, les effets sur la santé humaine. La santé environnementale, autrefois appelée « hygiène des milieux », couvre un très vaste domaine de disciplines, de connaissances, de pratiques et de recherches que nul ne saurait maîtriser dans sa totalité. D’où l’intérêt d’un ouvrage exhaustif qui prend le parti de décrire la relation environnement-santé dans ses diverses dimensions : principes, méthodes, milieux, effets, pratiques. Fruit d’une complexe, mais enrichissante collaboration entre les meilleurs spécialistes francophones des deux côtés de l’Atlantique, cet ouvrage, avec ses trente-neuf chapitres regroupés en cinq parties, servira aussi bien de livre de référence pour les professionnels que de manuel d’étude universitaire.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".