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Record W4409016925 · doi:10.30535/mto.30.4.13

Embedded Music Theory

2024· article· en· W4409016925 on OpenAlexaff
Eshantha Peiris

Bibliographic record

VenueMusic Theory Online · 2024
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsArtMusic theoryVisual artsAestheticsMusical

Abstract

fetched live from OpenAlex

Around the world, music theory is commonly understood as knowledge cultivated by specialist musicians and scholars.It is also assumed to require analytical terminology supplemented with visual representations.However, even in performance traditions less concerned with explicit formulations of musical processes, musical theorizations can be embedded in the minds of the performers and their audiences.This article aims to broaden common understandings of music theory through the lens of orally transmitted ritualistic verses from Sri Lanka, which are sung or recited along with drumming.Versions of these Sinhala verses have been previously published in Sedaraman, J. E. 2008 [1964].Ud arat a Nt um Kalva [The Art of Upcountry Dance] (Colombo: M.D. Gunasena).Transliterations and translations of these verses are presented alongside audio recordings of performances (some including video), to illustrate the ways in which the oral transmission and performance of such lyrics involves different modes of theorizing-such as knowledge of how conventional poetic meters can be sung, shared understandings of how to interpret vocables as drum strokes, and the association of different drum timbres with cosmological references.The article provides socio-historical context for the verses, details their form, explains the underlying conventions of versification, and analyzes the relationship between recited syllables and drum strokes, while highlighting the various processes of theorizing that undergird them.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.023
GPT teacher head0.261
Teacher spread0.238 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations1
Published2024
Admission routes1
Has abstractyes

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