MétaCan
Menu
Back to cohort
Record W2920114291 · doi:10.7202/1055856ar

Les paramètres de l'insertion professionnelle des musiciens au Québec. L'exemple de l'ensemble Magnitude6

2019· article· fr· W2920114291 on OpenAlexaffvenueabout
Marie-Pier Leduc

Bibliographic record

VenueRevue musicale OICRM · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

En raison du rôle partiel que joue la formation académique dans la gestion de l’incertitude liée à la profession d’interprète, l’analyse de l’insertion professionnelle des musiciens est des plus complexe. Cette recherche vise à comprendre comment s’opère le passage entre la formation académique et le marché professionnel, et plus particulièrement chez les musiciens jouant d’un cuivre. Ainsi, cette étude repose sur un travail de terrain réalisé auprès de l’ensemble montréalais Magnitude6, un quintette de cuivres avec batterie constitué d’étudiants en cours de professionnalisation et de professionnels établis. Cet article se présente en trois parties : la première dresse un portrait individuel des cinq interviewés destiné à faire ressortir les caractéristiques communes et distinctes de leur profil. La deuxième partie consiste en une analyse des stratégies de professionnalisation utilisées par les musiciens de Magnitude6 basée sur la notion de gestion de l’incertitude. La dernière partie fera le point sur le rôle de la formation académique dans ces stratégies de professionnalisation.

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)0.001
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.785
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.038
GPT teacher head0.298
Teacher spread0.261 · 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 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

Citations0
Published2019
Admission routes3
Has abstractyes

Explore more

Same venueRevue musicale OICRMSame topicLiterature, Musicology, and Cultural AnalysisFrench-language works237,207