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Record W2907350733

Les enfants comme collaborateurs. Comprendre les mondes musicaux des enfants en reconsidérant les constructions de l’enfance

2018· article· fr· W2907350733 on OpenAlexaff
Andrea Emberly

Bibliographic record

VenueOpenEdition (OpenEdition) · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicDiverse Music Education Insights
Canadian institutionsYork University
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

La construction de l’enfance, en tant qu’espace liminal situe quelque part entre le bas âge (la petite enfance) et l’âge adulte, comporte des implications locales et globales determinantes pour la maniere dont les ethnomusicologues approchent l’etude des cultures musicales enfantines. Dans les champs de l’ethnomusicologie et de l’education musicale notamment, les enfants ont souvent ete consideres comme de simples receptacles de l’enseignement musical, qui construisent leurs competences musicales a travers une transmission des connaissances « de haut en bas », effectuee des adultes aux enfants. C’est ainsi que le discours positiviste conceptualise souvent les enfants comme des adultes en devenir plutot que comme des personnes a part entiere. Base sur ma propre recherche collaborative menee avec des enfants et des adolescents des communautes Vhavenda d’Afrique du Sud, cet article examine comment des methodologies de recherche visant a privilegier le point de vue des enfants permettent une meilleure comprehension des cultures musicales enfantines.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.010
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.080
GPT teacher head0.310
Teacher spread0.230 · 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

Citations2
Published2018
Admission routes1
Has abstractyes

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