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Record W3094298409 · doi:10.3917/cas.010.0054

Langue et musique chez les Kuikuro du Haut-Xingu

2014· article· fr· W3094298409 on OpenAlexaff
Bruna Franchetto, Tommaso Montagnani

Bibliographic record

VenueCahiers d anthropologie sociale · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Chez les Kuikuro du Haut-Xingu il existe un genre de musique rituelle de flûte appelé Kagutu . Dans le mythe d’origine de cette musique, les esprits appelés Itseke chantent les suites Kagutu en prononçant chacun leur nom propre au début des pièces. Dans cet article nous analysons la façon dont la musique instrumentale évoque certains traits de la langue kuikuro au moyen d’un processus d’imitation musicale de la structure prosodique des noms propres. Le langage est en outre un support mnémonique lors de la phase d’apprentissage de la musique rituelle, et ceci grâce à un processus reposant sur l’utilisation d’un système codifié de succession de syllabes. Dans la deuxième partie de l’article nous montrons que non seulement chez les Kuikuro il est possible de parler d’une structuration linguistique de la matière musicale, mais aussi d’une musicalité propre à la langue parlée. Cette idée est exprimée par les Kuikuro principalement dans le discours local sur les différences dialectales caribe du haut-Xingu.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.353
Teacher spread0.312 · 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 designObservational
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

Citations5
Published2014
Admission routes1
Has abstractyes

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