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Record W7124602489 · doi:10.30535/mto.31.1.2

György Ligeti’s Chamber Concerto in the Light of the Article “. . . how time passes . . .” by Karlheinz Stockhausen

2025· article· en· W7124602489 on OpenAlexaff
Benjamin Lavastre

Bibliographic record

VenueMusic Theory Online · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCentral European and Russian historical studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsConcertoCadenzaChamber musicGeorge (robot)

Abstract

fetched live from OpenAlex

This study examines György Ligeti's Chamber Concerto for 13 instruments, written in 1969-70, in light of Karlheinz Stockhausen's 1957 article ". . .how time passes . . ." In this famous article, Stockhausen establishes relationships between the components of musical writing: durations, tempi, rhythms, pitches, and registers.He describes the solutions he imagines for composing time against the backdrop of integral serialism and the advent of electronic music.By comparing this article with Ligeti's score, one recognizes a realization of the concepts introduced by Stockhausen, such as "field-sizes," "duration-formants," use of proportions, and tempo/pitch "mediations."This study sheds light on Ligeti's choices regarding the establishment of metronomic and senza tempo strata, the serial treatment of tempi in the second movement, and the freedoms granted to the performers.This comparative approach puts into perspective existing analyses of the Chamber Concerto that focus primarily on the organization of pitches and the realization of textures.

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)0.001
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: Other · Consensus signal: Other
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.255
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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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