Des cancérogènes en milieu de travail? Posez-vous des questions!
Bibliographic record
Abstract
Le risque de développer un cancer associé au travail est beaucoup moins visible que celui de faire une chute ou de se blesser.Pourtant, selon la CSST, 68 décès sont survenus au Québec à la suite d'un accident du travail en 2011, contre 100 causés par un cancer lié au travail.Ce feuillet concerne tous les milieux de travail, car il n'y a pas que l'amiante qui soit cancérogène!Les cancérogènes On peut être exposé à des cancérogènes sous forme de poussières, de liquide, de gaz, d'ondes, ou autres.Ils sont parfois incolores, sans odeur et invisibles.Le tableau suivant en présente quelques exemples.Pour consulter une liste des cancérogènes, visitez le site Web du Centre international de recherche sur le cancer (CIRC) : http://monographs.iarc.fr/FR/Classification/index.phpPour connaître les cancérogènes du Règlement sur la santé et la sécurité du travail, voir son Annexe I.
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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.037 | 0.012 |
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".