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Record W2798003243 · doi:10.7202/1043867ar

L’enseignement et l’action créative : de l’inférence comme indice de professionnalisation du futur enseignant de musique

2018· article· fr· W2798003243 on OpenAlexvenueno aff
Isabel Balmori

Bibliographic record

VenueIntersections Canadian Journal of Music · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

« Comment la société organise-t-elle des expertises ? » À partir de la question formulée par le sociologue américain Abbott (1988) et dans le cadre d’une recherche menée par l’équipe DAM de l’Université de Genève, nous nous sommes penchés sur les pratiques des formateurs et des étudiants en chant — le premier assumant institutionnellement un rôle d’experts. Nous avons analysé ces pratiques sur la base des trois opérations caractéristiques du professionnel : le diagnostic, l’inférence et le traitement, théorisés par Abbott. Leur mise en parallèle avec les pratiques de transmission depuis le XVII e siècle jusqu’à nos jours nous a permis de mettre en relief de profondes transformations dans l’enseignement du chant dit « classique », notamment dans l’étape d’inférence. Cette étape permettrait au professeur de chant expérimenté de déployer sa créativité, mais constituerait aussi un vrai défi pour l’étudiant en voie 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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
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 head0.268
GPT teacher head0.428
Teacher spread0.160 · 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 teacher head, not a consensus.

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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