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Record W2804677204 · doi:10.3917/bupsy.555.0643

L’expérience de la douleur et de la souffrance chez les musiciens d’orchestre

2018· article· fr· W2804677204 on OpenAlexaff
Valérie Lamontagne, Sophie Gilbert, Catherine Courchesne, Claude Bélanger

Bibliographic record

VenueBulletin de psychologie · 2018
Typearticle
Languagefr
FieldMedicine
TopicMusicians’ Health and Performance
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Dans le cadre de cette étude, quatre musiciens d’orchestre professionnels se sont prêtés à des entretiens semi-directifs afin de rendre compte de leurs expériences de la douleur dans le contexte du travail d’orchestre. Nous avons procédé à une analyse à la fois descriptive et interprétative du matériel recueilli. Les résultats révèlent que chez les musiciens rencontrés, la quête d’idéal est au cœur de leur activité musicale. Ils démontrent au sein de cette activité un investissement massif qui comporte des gratifications et des souffrances sur le plan identitaire, modulant le sens attribué à la douleur. Dans cet article, nous discutons des résultats selon la théorie de la psychodynamique du travail (Dejours, 1980).

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)0.002
metaresearch head score (Gemma)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.033
GPT teacher head0.386
Teacher spread0.353 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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