MétaCan
Menu
Back to cohort
Record W3159641123 · doi:10.4000/volume.8984

Des instrumentistes sur le devant de la scène. Apprentissage du métier et modalités de travail dans deux scènes de renouveau musical en Grèce

2021· article· fr· W3159641123 on OpenAlexaff
Reguina Hatzipetrou-Andronikou, Dimitra Papastavrou

Bibliographic record

VenueVolume ! · 2021
Typearticle
Languagefr
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À partir de deux enquêtes menées dans les deux grands centres urbains grecs durant la deuxième moitié des années 2000, cet article présente l’émergence d’une figure spécifique d’instrumentiste dans deux milieux de renouveau différents : les instrumentistes du renouveau de la musique traditionnelle et le premier groupe de bluegrass qui se forme en Grèce. D’abord, la comparaison entre les deux cas permet d’identifier comment la socialisation professionnelle se construit à travers le jeu en groupe. D’autre part, les musicien·ne·s instrumentistes de ces styles construisent des trajectoires professionnelles autonomes par rapport aux styles musicaux commerciaux ; leur pratique musicale et professionnelle est semblable et se rapproche des pratiques du jazz instrumental contemporain grec. Ces résultats interrogent plus largement l’approche par style musical dans l’étude des musicien·ne·s de musiques populaires et montrent la valeur heuristique pour la sociologie des musiques populaires de comparer des pratiques professionnelles musicales qui s’inscrivent dans les mêmes espaces, lieux et temporalités.

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)0.003
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 score0.083
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.010
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.015
GPT teacher head0.219
Teacher spread0.204 · 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueVolume !Same topicMusic History and CultureFrench-language works237,207