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Record W3027540560 · doi:10.4000/sds.11950

Une approche communicationnelle de la « santé au travail »

2020· preprint· fr· W3027540560 on OpenAlexaff
Laurent Morillon, Valérie Carayol, Sylvie Grosjean

Bibliographic record

VenueSciences de la société · 2020
Typepreprint
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPolitical sciencePsychology

Abstract

fetched live from OpenAlex

Que ce soit sur la scène socio-professionnelle, celle des média ou encore de la recherche, les questions sur la « santé au travail » sont d’actualité dans les pays occidentaux depuis les années 1990. Ce dossier de la revue Sciences de la Société se propose de la questionner scientifiquement au prisme de l’information et de la communication. Les huit articles retenus dans ce dossier sont pluridisciplinaires et démontrent, s’il en était besoin, la pluralité des objets, des projets, des techniques de recueil, des cadres d’analyse et théories susceptibles d’être retenus. Les contributions sont présentées selon deux axes. Le premier, composé de quatre textes, questionne les conditions d’exercice du travail et les modalités organisationnelles et communicationnelles susceptibles d’avoir une influence sur la santé au travail. Les quatre textes suivants explorent, dans un second axe, les actions, politiques ou mesures qui s’attachent à remédier à des situations potentiellement pathogènes ou à développer la santé au travail.

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)0.017
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.005
Science and technology studies0.0100.030
Scholarly communication0.0220.018
Open science0.0030.007
Research integrity0.0110.012
Insufficient payload (model declined to judge)0.0160.004

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 head0.219
GPT teacher head0.516
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 designQualitative
Domainnot available
GenreEmpirical

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
Published2020
Admission routes1
Has abstractyes

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