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Record W4406604952

Changing Conceptualizations of Rhythm in Sri Lankan Up-Country Percussion Music

2018· article· en· W4406604952 on OpenAlexaff
Eshantha Peiris

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPercussionRhythmSri lankaPsychologyCommunicationGeographyVisual artsHistoryArtMedicineAncient historySouth asiaAesthetics
DOInot available

Abstract

fetched live from OpenAlex

The ways musicians conceive of and categorize musical rhythms can directly influence the way they perform them. The up-country (“Kandyan”) drumming tradition of central Sri Lanka serves as a vivid example of how the spread and transformation of rhythm concepts has been enabled by particular social histories, and of how these changing concepts of rhythm have influenced the ways in which the music has been performed. In this article, I analyze the metrically flexible frameworks of rhythmic contours that were employed by up-country performers prior to the twentieth century. I do this by relying on the writings of nationalist musicologists who were critical of earlier practices, and by comparing these accounts with a variety of conceptual rhythmic phenomena found throughout the Indian subcontinent. Given the long history of social interactions between Sri Lanka and India, I argue that there is much to be gained from analyzing Sri Lankan traditional musics in broader South Asian contexts. I also show how present-day understandings of up-country drumming rhythms as metric cycles have their roots in mid-twentieth century cultural reform movements, and how ideological motivations have inspired these particular modes of rhythmic theorizing. I contextualize this in terms of anti-colonial Indian cultural nationalism, and in terms of the academic theorizing that accompanied the revivals of indigenous performing arts. By focussing on structural concepts of rhythm, rather than on the surface rhythms of sung melodies or drumming, I uncover a trend across South Asia of flexible rhythmic concepts moving towards more rigidly defined rhythmic categories during the colonial and post-colonial twentieth century.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.874

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1260.000

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 head0.278
GPT teacher head0.491
Teacher spread0.213 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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