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Record W4235491476 · doi:10.4000/pistes.3631

Travailleurs immigrants et santé et sécurité du travail

2014· paratext· W4235491476 on OpenAlexvenueno aff

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2014
Typeparatext
Language
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

Ce numéro Travailleurs immigrants et santé et sécurité du travail (SST) veut apporter un modeste éclairage sur le cumul des précarités liées aux conditions de SST au travail, au statut migratoire, aux liens fragiles d’emploi, à la faiblesse des revenus, à la non-reconnaissance des compétences et à l’incapacité d’exercer ses droits. Les travaux de SST ici regroupés s’intéressent aux travailleurs ayant divers profils : des résidents permanents embauchés par les petites entreprises manufacturières, des travailleurs étrangers temporaires employés dans les secteurs saisonniers et des travailleurs d’agences de location de main-d’œuvre, appelés aussi des travailleurs intérimaires. Les lecteurs sont invités à poser un regard critique sur les inégalités sociales de santé chez les travailleurs immigrants engendrées par les pratiques non adaptées de SST.

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)0.002
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.004
Scholarly communication0.0050.002
Open science0.0000.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0270.003

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 head0.037
GPT teacher head0.426
Teacher spread0.389 · 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
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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