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Record W7011022498

La sécurité au quai de transbordement : questionnaire associé au logiciel Évaluation de la sécurité aux quais de transbordement

2007· article· fr· W7011022498 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldArts and Humanities
TopicForensic Anthropology and Bioarchaeology Studies
Canadian institutionsInstitut de recherche Robert-Sauvé en santé et en sécurité du travail
Fundersnot available
KeywordsContext (archaeology)Work (physics)Deformation (meteorology)Subject (documents)
DOInot available

Abstract

fetched live from OpenAlex

La sécurité aux quais de transbordementQuel est le niveau de sécurité des quais de votre entreprise Cette fiche technique :• propose 30 questions simples, dont les réponses permettent de connaître les caractéristiques de vos quais ; • explique les trois principaux risques associés aux quais ; • suggère les mesures de retenue les plus efficaces selon les trois risques associés aux quais. Suivre cette démarche vous permettra d'améliorer la sécurité à vos quais de transbordement.Institut de recherche Robert-Sauvé en santé et en sécurité du travail www.irsst.qc.ca La sécurité aux quais de transbordementQuestionnaire associé au logiciel Évaluation de la sécurité aux quais de transbordement R-502

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Software · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.030
GPT teacher head0.327
Teacher spread0.297 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreSoftware

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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Same topicForensic Anthropology and Bioarchaeology StudiesFrench-language works237,207