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Record W2921899097 · doi:10.7202/1060130ar

(Re)présenter les œuvres musicales. L’exemple des programmes de concert de la Société de musique contemporaine du Québec

2019· article· fr· W2921899097 on OpenAlexaffvenueabout
Ariane Couture

Bibliographic record

VenueRevue musicale OICRM · 2019
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

À partir du concept de paratexte développé par Genette (1987) et adapté à la musique par Escal (1996), cet article met au jour les modalités de (re)présentation des œuvres jouées par la Société de musique contemporaine du Québec (SMCQ) telles que véhiculées par les programmes de concerts produits entre 1966 et 2013. Après avoir effectué une mise en contexte de l’historique, du fonctionnement et de la programmation des œuvres de la SMCQ, les programmes de concerts sont examinés dans une perspective comparativiste afin d’en faire ressortir les similarités et les divergences. En premier lieu, la description formelle de la page couverture, du format et de la mise en page des programmes dirige la réflexion sur les paratextes non verbaux. En second lieu, l’examen des notices écrites des œuvres les plus jouées de la SMCQ permet d’affirmer l’importance accordée à l’autorité des compositeurs, principaux auteurs des paratextes verbaux. Ainsi, l’article permet d’éclairer l’articulation et l’évolution de la pensée musicale de la SMCQ pendant cette période.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.309
Threshold uncertainty score0.622

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.005
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.002

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 head0.104
GPT teacher head0.311
Teacher spread0.207 · 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

Citations1
Published2019
Admission routes3
Has abstractyes

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