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Record W4306322134 · doi:10.4000/activites.7603

L’apport de l’autoconfrontation collective interprofessionnelle à la santé au travail : le cas d’une clinique de l’activité en milieu scolaire

2022· article· fr· W4306322134 on OpenAlex
Emmanuel Poirel, Patricia Dionne, Simon Viviers

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueActivites · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité LavalUniversité de MontréalUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPsychologyPhilosophy

Abstract

fetched live from OpenAlex

La dégradation de la santé mentale des professionnels en milieu scolaire est inquiétante. Si la poursuite de l’efficacité, l’efficience et l’économie atrophient les espaces de travail de qualité en collectifs, c’est à partir d’une recherche-intervention fondée sur la clinique de l’activité que nous avons tenté de traiter ce problème. Dans cet article nous décrivons les processus mobilisés au cours d’un dispositif d’autoconfrontation collective interprofessionnelle ; un comité dans un établissement scolaire dont la visée transformatrice était l’amélioration de la santé au travail. Les résultats montrent que le dispositif a permis de réduire la perception d’écart hiérarchique et a favorisé la mobilisation du comité santé autour d’un projet permettant le développement du pouvoir d’agir individuel et collectif.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.136
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.077
GPT teacher head0.429
Teacher spread0.351 · 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