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Record W2899343391 · doi:10.4000/culturemusees.493

Écouter la musique par corps. La socialisation de l’oreille en natation synchronisée

2015· article· fr· W2899343391 on OpenAlex
Irina Kirchberg

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCulture & Musées · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsUniversité de MontréalMusée de la Civilisation
Fundersnot available
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

Huit paires de jambes jaillissant de l’eau simultanément et scandant des mouvements identiques au rythme soutenu d’une musique entêtante : voilà ce que l’on retient géné­ralement des ballets de natation synchronisée que proposent les retransmissions télévisées d’épreuves sportives internationales. Alors que les journalistes et les spectateurs témoignent de leur plaisir face à ces réalisations, il est légitime de s’interroger sur les mécanismes de la synchronisation dont ces sportives font la démonstration au cours de leurs ballets.Pour expliquer ce phénomène, l’auteure montre que les athlètes développent tout au long de leur carrière sportive une « oreille de nageuse » qui leur permet de hiérarchiser de façon similaire les éléments musicaux et, ainsi, de partager les mêmes repères sonores pour coordonner leurs actions. Cet article rend compte des appuis techniques mobilisés et des moyens mis en œuvre dans la socia­lisation de l’oreille de ces sportives.

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.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.161
GPT teacher head0.440
Teacher spread0.279 · 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