Des cancérogènes en milieu de travail? Posez-vous des questions!
Bibliographic record
Abstract
Le risque de dvelopper un cancer associ au travail est beaucoup moins visible que celui de faire une chute ou de se blesser.Pourtant, selon la CSST, 68 dcs sont survenus au Qubec la suite d'un accident du travail en 2011, contre 100 causs par un cancer li au travail.Ce feuillet concerne tous les milieux de travail, car il n'y a pas que l'amiante qui soit cancrogne!Les cancrognes On peut tre expos des cancrognes sous forme de poussires, de liquide, de gaz, d'ondes, ou autres.Ils sont parfois incolores, sans odeur et invisibles.Le tableau suivant en prsente quelques exemples.Pour consulter une liste des cancrognes, visitez le site Web du Centre international de recherche sur le cancer (CIRC) : http://monographs.iarc.fr/FR/Classification/index.phpPour connatre les cancrognes du Rglement sur la sant et la scurit 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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.014 |
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; both teacher heads agree on what is shown here.
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".