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Record W1750648425 · doi:10.4000/pistes.3234

L’analyse psychologique du développement des gestes professionnels : une perspective pour la prévention des TMS ?

2013· article· fr· W1750648425 on OpenAlexvenueno aff
Jean-Luc Tomás

Bibliographic record

VenuePerspectives interdisciplinaires sur le travail et la santé · 2013
Typearticle
Languagefr
FieldPsychology
TopicSocial Representations and Identity
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Les références aux gestes et aux corps ne paraissent pas essentielles dans les travaux des fondateurs de la tradition historico-culturelle. Pourtant, Vygotski, Léontiev et Luria ont contribué à développer des axes théoriques que nous avons souhaités reprendre. En nous appuyant sur ces travaux, dont certains font référence à des physiologistes russes — Anokhin et Bernstein — nous proposons de présenter un modèle d’analyse psychologique du développement du geste. Le travail d’opératrices d’une blanchisserie industrielle et les autoconfrontations croisées auxquelles elles ont participé, nous permettent de distinguer, au sein d’une même unité psycho-socio-physiologique, le geste, les automatismes et le mouvement. Nous montrons alors comment l’analyse psychologique en clinique de l’activité peut contribuer à la prévention durable des TMS. Plus exactement, nous présentons trois axes pour l’intervention. Nous pensons qu’un travail d’analyse, à partir de la structure psychologique du geste, permet de i) provoquer des controverses ciblées sur les rapports entre ces trois plans ; ii) développer l’expérience gestuelle des professionnels par la multiplication des contextes ; et enfin, iii) soutenir le pouvoir d’agir des professionnels.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.403
Teacher spread0.374 · 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; both teacher heads agree on what is shown here.

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
Published2013
Admission routes1
Has abstractyes

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