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Record W2146342417 · doi:10.4000/pistes.3160

Intervenir contre le harcèlement au travail : soigner et sévir ne suffisent pas

2005· article· fr· W2146342417 on OpenAlexaffvenue
Chantal Leclerc

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2005
Typearticle
Languagefr
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Quelles sont les voies d’intervention privilégiées et à promouvoir en matière de lutte contre le harcèlement psychologique au travail ? La tendance actuelle des entreprises est de se doter de politiques et de prévoir le recours à des services de médiation ou à des procédures d’enquête. L’article analyse d’abord les avantages et les limites de ces formes d’intervention à saveur fortement psychologique ou juridique. La mise au jour des éléments organisationnels en présence dans plusieurs situations de harcèlement permet ensuite de comprendre qu’une lutte efficace contre le harcèlement ne peut se réduire à des interventions individuelles faites en marge des lieux concrets du travail. Les interventions à promouvoir doivent contribuer à retisser les liens de solidarité fragilisés par des formes d’organisation du travail et de gestion qui placent les personnes en situation constante d’insécurité, de surcharge et de compétition. Elles doivent permettre la parole et l’action collectives.

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)0.011
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.004
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0120.002

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 head0.019
GPT teacher head0.335
Teacher spread0.316 · 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

Citations8
Published2005
Admission routes2
Has abstractyes

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