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Record W4377004884 · doi:10.7202/1095762ar

Déterminants organisationnels de la santé des travailleurs : une revue systématique de méta-analyses

2023· article· fr· W4377004884 on OpenAlexaff
Guylaine Landry, Patrice Daneau, Y Savard, A. Laurent Vautier, Justine Dima

Bibliographic record

VenueHumain et Organisation · 2023
Typearticle
Languagefr
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversité LavalUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Malgré de nombreuses études concernant les effets du travail sur la santé des travailleurs, les connaissances à ce sujet restent peu intégrées. Cette étude vise donc à dresser un bilan des connaissances sur les déterminants organisationnels de la santé psychologique et physique pour mieux sélectionner les interventions organisationnelles à implanter. Une revue systématique de méta-analyses a été réalisée ; 163 méta-analyses ont été retenues exposant 791 relations entre les déterminants organisationnels et la santé. Les résultats démontrent un faible effet des déterminants organisationnels recensés sur la santé physique tandis que la culture organisationnelle, renvoyant aux perceptions de justice, de respect et de soutien, de même que le leadership, se révèlent les déterminants ayant les plus forts liens avec la santé psychologique.

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)0.094
metaresearch head score (Gemma)0.228
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.094
Threshold uncertainty score0.496

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0940.228
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0150.039
Bibliometrics0.0090.012
Science and technology studies0.0010.002
Scholarly communication0.0080.005
Open science0.0030.003
Research integrity0.0030.004
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 head0.189
GPT teacher head0.558
Teacher spread0.369 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2023
Admission routes1
Has abstractyes

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