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Record W2009664741 · doi:10.4000/pistes.3327

Formation et soutien à l’apprentissage : des conditions indispensables à la polyvalence et à la santé et sécurité au travail

2003· article· fr· W2009664741 on OpenAlexaffvenue
Céline Chatigny, Nicole Vézina, Johanne Prévost

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)Université du Québec à Montréal
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

L’objectif de cette étude réalisée dans une usine d’assemblage automobile était d’identifier les types de situations de formation aux postes de travail et de comprendre comment elles sont vécues. Des entretiens avec des travailleurs et des travailleuses ainsi qu’avec des représentants de l’entreprise et du syndicat ont été accompagnés d’observations. Les résultats montrent qu’avec le temps la formation s’est améliorée en ce qui concerne la durée et les contenus, mais que l’augmentation des exigences de production recrée sans cesse un élargissement entre la formation offerte et celle requise par les travailleurs rencontrés. Ces écarts sont particulièrement problématiques pour les travailleurs les plus polyvalents et à statut précaire, en particulier les femmes. Les apprentissages se font souvent à un coût qui effrite la santé, la confiance et la motivation à apprendre, notamment dans les situations d’implantation de rotations de postes de 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)0.004
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.056
GPT teacher head0.426
Teacher spread0.371 · 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
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
Published2003
Admission routes2
Has abstractyes

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