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Record W2965642599 · doi:10.7202/1059891ar

Experiencing Time in Brian Cherney’s String Quartet No. 4 (1994)

2019· article· en· W2965642599 on OpenAlexvenueno aff
Christoph Neidhöfer

Bibliographic record

VenueIntersections Canadian Journal of Music · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsCounterpointMovement (music)SpacetimeCoherence (philosophical gambling strategy)String (physics)Cohesion (chemistry)LinguisticsLiteraturePhilosophyEpistemologyMathematicsSociologyArtAestheticsTheoretical physicsPhysicsStatistics

Abstract

fetched live from OpenAlex

Brian Cherney’s Fourth String Quartet (1994), in one movement lasting half an hour, is striking for its formal coherence and diversity of materials. The work achieves large-scale cohesion not only through an intricate interplay of three simultaneously unfolding “main structures”—four attacca movements in one, on one level, seven sections forming certain temporal proportions, on another, and four cycles of “breathing rhythms” derived from the same proportions on a third level, as documented in the manuscript sources—but also through the continually fluctuating tension we experience throughout the movement between ontological and psychological time. Pierre Souvtchinsky’s notion of a “counterpoint” between “ontological time” (i.e., clock or real time) and a particular music’s inherent time shaped by “the material and technical means by which [the] music is expressed” is referenced to demonstrate how in Cherney’s quartet fixed proportions and slow, stable polyrhythms active in the background afford space for foreground activity that has its own sense of time. The article further explores the notion of time in a second, metaphorical dimension, as concerns intertextual allusions in the quartet.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.776
Threshold uncertainty score0.966

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0390.001

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 head0.018
GPT teacher head0.194
Teacher spread0.176 · 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
Published2019
Admission routes1
Has abstractyes

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