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Record W4412047831 · doi:10.5539/ach.v17n2p1

The Musical Expression of “san zu liang er”: New Explorations of Interval and Sonata Form in “鼎”

2025· article· en· W4412047831 on OpenAlexvenueno aff
Yao Qin, Loo Fung Chiat, Ku Hasnita binti Ku Samsu, Yeoh Pei Sze

Bibliographic record

VenueAsian Culture and History · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMusical expressionExpression (computer science)MusicalInterval (graph theory)AestheticsArtPsychologyVisual artsComputer scienceMathematicsCombinatorics

Abstract

fetched live from OpenAlex

Yao Henglu is one of the most distinguished contemporary Chinese composers and educators. His work for Free Bass Accordion, “鼎”, Ding, (TRIPOD, Sonata No.1 for Free Bass Accordion), is a unique solo repertoire for the instrument. Yao Henglu employs a culturally informed approach to defining musical structures and organizes musical ideas through innovative Interval concepts. This piece reflects the composer’s integration of Chinese cultural elements into the framework of Western sonata form and explores innovations in interval relationships. This article examines “鼎” from three perspectives: an overview of the composer and the work, the “san zu liang er” (三足两耳) in sonata form, and an analysis of interval innovation. Through this exploration, the connection and fusion between Western modern compositional techniques and Chinese cultural traditions were revealed, highlighting Yao Henglu’s contributions and the uniqueness of “鼎”.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

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 studies0.0020.006
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.070
GPT teacher head0.228
Teacher spread0.159 · 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
Published2025
Admission routes1
Has abstractyes

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