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Record W3152492372 · doi:10.29173/af29425

méditation comme moyen de synthèse culturelle dans les œuvres du compositeur Yoshihisa Yaïra

2021· article· fr· W3152492372 on OpenAlexvenueno aff
Hiroyo Morooka

Bibliographic record

VenueALTERNATIVE FRANCOPHONE · 2021
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Le compositeur Yoshihisa Taïra (1937-2005) cherche – dans sa composition – à réaliser une synthèse culturelle entre la France, où il s’est formé et a vécu, et le Japon, son pays d'origine. Il utilise alors la méditation comme thème musical pour se libérer de l’intellectualisation et de la verbalisation de la musique, et ce, dans le but de revenir à l’écoute en tant qu’essence musicale. En utilisant le concept du ma (vide), en s’inspirant de la pensée bouddhiste zen, Taïra réussit à trouver une position équilibrée avec le contexte esthétique de la postmodernité française représentée par Jean-François Lyotard. Cet article creuse donc ce en quoi la méditation est la synthèse culturelle pour Taïra, en analysant du point de vue musical et philosophique, la possibilité de l’existence d’un croisement idéologique entre ces deux cultures qui inciterait le compositeur à retourner vers l’inspiration de la culture japonaise, à l’aide de la pensée issue de Logique du lieu de Kitarô Nishida.

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)0.002
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.011
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0010.002
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 head0.150
GPT teacher head0.306
Teacher spread0.156 · 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 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
Published2021
Admission routes1
Has abstractyes

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Same venueALTERNATIVE FRANCOPHONESame topicCultural Insights and Digital ImpactsFrench-language works237,207