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Record W2796433847 · doi:10.30535/mto.24.1.7

Chasing the Phantom

2018· article· en· W2796433847 on OpenAlexaff
Michael Tenzer

Bibliographic record

VenueMusic Theory Online · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusicology and Musical Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAestheticsFocus (optics)TRACE (psycholinguistics)Embodied cognitionVisual artsArtMusicalGlobeHistorySociologyLiteraturePsychologyLinguisticsEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

Balinese composer Dewa Alit (b. 1973) splits his time between home and abroad, absorbing many kinds of music. His latest gamelan work (2016) is Ngejuk Memedi , from the Balinese ngejuk , to chase, and memedi , a feared phantom of the Balinese unseen world that takes human form. It animates his evolving desire for a “broader conception of what gamelan is, one based on its relationship to other cultures” (Alit in Tenzer 2011, 134), while submitting to the phantom-like elusiveness of the goal. In analyzing part of Ngejuk Memedi , this article argues for an emergent musical supra-culturalism embedded in innovative rhythmic practices. In Alit’s case, three strata of metrically dissonant parts are superposed in a continually changing relationship. His procedures are suggestive of those of other contemporary musicians from around the globe, whose kinship with Alit comes into focus once one delimits the intellectual and aesthetic desiderata they have challenged themselves to explore. Often notated by composers but transmitted and performed orally, such music is highly conceptual but deeply embodied in felt groove. Its signature element is the juxtaposition or layering of complex, asymmetrical periodicities that are rare or unknown in source traditions, but trace to ideas circulating from African, Indian, Western and other art musics that have become common currency. In these intersecting senses, they comprise a new phenomenon.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.899
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0360.000

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 head0.056
GPT teacher head0.255
Teacher spread0.200 · 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 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

Citations3
Published2018
Admission routes1
Has abstractyes

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