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Record W7035628869

Ajustement d'une VEMP du RSST en fonction d'un horaire non conventionnel

2007· article· fr· W7035628869 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldEconomics, Econometrics and Finance
TopicEconomic and Industrial Development
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsWork safetyStationary solutionFrequency spectrum
DOInot available

Abstract

fetched live from OpenAlex

Cet utilitaire permet de calculer la valeur d'exposition moyenne ajustée (VEMA) en fonction d'un horaire de travail non conventionnel. La VEMA est calculée à partir de la VEMP telle que définie dans le nouveau Règlement sur la santé et la sécurité du travail en vigueur au Québec. Les principes de l'ajustement sont décrits dans le Guide d'ajustement des valeurs d'exposition admissible (VEA) pour les horaires non conventionnels. (document T-21). Il est à noter que selon ces principes, seules les VEMP doivent être ajustées. Les asphyxiants simples et les substances réglementées avec des valeurs plafond (VP), valeurs d'expositions de courtes durées ou qui ont la mention " sans valeur d'exposition admissible " ne sont pas touchées par le processus d'ajustement. Toutefois, une catégorie d'ajustement est aussi présentée pour ces substances pour permettre aux utilisateurs d'adopter les principes d'ajustement à leur propre système de valeurs limites.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.701
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0100.007

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.

Opus teacher head0.021
GPT teacher head0.205
Teacher spread0.184 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Quick stats

Citations0
Published2007
Admission routes2
Has abstractyes

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