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Record W1955332565 · doi:10.7202/1025811ar

La contramétricité dans les musiques traditionnelles africaines et son rapport au jazz

2014· article· fr· W1955332565 on OpenAlexaffvenue
Marc Chemillier, Jean Pouchelon, Julien André, Jérôme Nika

Bibliographic record

VenueAnthropologie et Sociétés · 2014
Typearticle
Languagefr
FieldNeuroscience
TopicNeuroscience and Music Perception
Canadian institutionsUniversité de MontréalHôtel-Dieu de Montréal
Fundersnot available
KeywordsHumanitiesArtJazzArt history

Abstract

fetched live from OpenAlex

La mise en mouvement du corps à travers la danse, la présence d’une pulsation régulière qui rythme ces mouvements et le fait de contrecarrer cette pulsation par des événements musicaux placés à côté, ce qu’on appelle la « contramétricité », sont des points communs à la plupart des musiques africaines traditionnelles. Ils témoignent à la fois d’une disposition universelle du système cognitif (capacité du corps humain de se synchroniser avec des signaux sonores périodiques) et d’une dimension profondément culturelle dans la mesure où la contramétricité s’est développée dans ces musiques beaucoup plus qu’ailleurs. On montrera comment cet aspect contramétrique contredit les théories de la perception du rythme inspirées des hypothèses de Lerdahl et Jackendoff. On comparera également ces musiques avec le jazz, car celui-ci a une particularité qui le distingue des musiques africaines, à savoir l’existence de niveaux hiérarchiques dans l’organisation métrique, dont on montrera qu’elle n’est pas aussi discriminante que ce qui est généralement admis.

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)0.002
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 score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.254
GPT teacher head0.496
Teacher spread0.242 · 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

Citations6
Published2014
Admission routes2
Has abstractyes

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