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Record W4405240582 · doi:10.7202/1114850ar

L’hétérophonie « statistique » et l’oralité dans <i>Momente</i> et <i>Telemusik</i> de Karlheinz Stockhausen

2021· article· fr· W4405240582 on OpenAlexvenueno aff
Vicky Tremblay

Bibliographic record

VenueIntersections Canadian Journal of Music · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article étudie l’hétérophonie dans la théorie et les oeuvres de Karlheinz Stockhausen (1928-2007). Il s’intéresse aux écrits et aux partitions de Stockhausen à l’aune des travaux théoriques que l’ethnomusicologue estonienne Žanna Pärtlas propose sur l’hétérophonie. Stockhausen associe cette texture à la composition dite « statistique », qui lui permet de répartir les hauteurs et les durées de façon aléatoire. Cette pratique se manifeste par la notation graphique dite qualitative et l’exécution plus libre par les interprètes de Momente , mais aussi par l’insertion d’échantillons sonores de musiques traditionnelles et extraoccidentales dans Telemusik . Il apparait que l’hétérophonie et la musique « statistique » s’intègrent plus largement dans une nouvelle forme d’oralité musicale propre au XXe siècle qui peut être qualifiée, après Paul Zumthor, d’oralité « seconde » — c’est-à-dire une oralité qui s’est développée dans un contexte d’« hégémonie de l’écriture » — et « médiatisée » par les nouveaux dispositifs électroniques.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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: Empirical
Teacher disagreement score0.604
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.043
GPT teacher head0.325
Teacher spread0.281 · 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
Published2021
Admission routes1
Has abstractyes

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