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Record W2776937875 · doi:10.4000/pistes.5491

Intervenir dans l’entreprise pour soutenir la discussion sur le travail comme moyen de transformation

2017· article· fr· W2776937875 on OpenAlexvenueno aff
Christophe Massot, Pascal Simonet

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Le constat semble partagé, par différents champs des sciences sociales s’intéressant au travail, au sujet de la rétraction des scènes contemporaines de régulation du travail, qu’il s’agisse du CHSCT ou des relations hiérarchiques. À ce titre, au nom de la performance comme de la prévention en santé, il est appelé à la transformation des organisations, sans que les moyens de cette transformation ne soient désignés. Cet article présente, à partir d’un cas concret, les interventions en clinique de l’activité comme un effort pour réinstaurer une mise en discussion du travail pour transformer l’organisation du travail et les rapports sociaux la soutenant. Mais, du point de vue des sciences sociales comme en clinique de l’activité, cette réouverture ne peut se tenir qu’à la condition que le management et les acteurs syndicaux expérimentent et éprouvent cette mise en discussion comme un moyen de développer leur propre activité.

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)0.029
metaresearch head score (Gemma)0.029
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 score0.029
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0120.020
Scholarly communication0.0130.011
Open science0.0020.011
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0150.002

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 head0.029
GPT teacher head0.346
Teacher spread0.317 · 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

Citations14
Published2017
Admission routes1
Has abstractyes

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