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Record W4413781745 · doi:10.7202/1119027ar

Les partitions sonores. Un outil collaboratif entre l’interprétation et la composition

2025· article· fr· W4413781745 on OpenAlexvenueno aff
Eric Maestri, Grazia Giacco, Raffaella Valente

Bibliographic record

VenueRevue musicale OICRM · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsComposition (language)HumanitiesArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

C’est de l’encre (2023) est une oeuvre pour alto et piano conçue comme une partition sonore, pouvant être interprétée en modalité mixte diffusée par des haut-parleurs, ou comme une pièce purement instrumentale, jouée tout en écoutant au casque la partition sonore. S’inscrivant de manière originale dans l’histoire de la pratique des partitions sonores, cette oeuvre explore les interactions émergentes entre écriture et interprétation dans le cadre d’une recherche-création collaborative. La partition sonore ouvre la voie à de nouvelles formes de collaboration, instaurant une dynamique fluide entre compositeur et interprète et révélant des zones de porosité entre ces rôles. Mobilisant des identités plurielles – compositeur, altiste, pianiste, tous également engagés dans la recherche académique – C’est de l’encre traduit une volonté commune de repousser les limites des modes de jeu conventionnels, des gestes musicaux, de l’écoute et de l’expérimentation artistique. Ancrée dans une approche centrée sur la pratique musicale, cette recherche met en lumière les interactions générées par la partition sonore et leurs implications, soulignant son rôle fondamental en tant qu’outil de création intrinsèquement collaboratif.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.868
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.307
Teacher spread0.288 · 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 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
Published2025
Admission routes1
Has abstractyes

Explore more

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