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Record W1555347317 · doi:10.21083/csieci.v9i2.2694

Productive Ambiguity: Fleshing out the Bones in Yolŋu Manikay "Song" Performance, and the Australian Art Orchestra’s "Crossing Roper Bar"

2014· article· en· W1555347317 on OpenAlexvenueno aff
Samuel Curkpatrick

Bibliographic record

VenueCritical Studies in Improvisation / Études critiques en improvisation · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Musicological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsClanMusicalMetaphorAppropriationSociologyVisual artsHistoryAestheticsArtAnthropologyLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

This paper examines the place of creativity amid orthodox musical elements in the manikay (public song) tradition of the Yolŋu people of Northern Australia, particularly the song repertoire belonging to the Wägilak clan from Ŋilipidji. Beginning with the Yolŋu metaphor of raki (string) as it describes an individual’s historical constitution, an examination of productive ambiguities built into the rhythmic (bilma) and intervallic (dämbu) forms of manikay underpins the assertion that tradition speaks with living relevance through performed realisation and improvisation. The Australian Art Orchestra’s collaboration with Wägilak songmen, "Crossing Roper Bar," is introduced as a dramatic example of the manikay tradition working in and through contemporary expressions and contexts. This project sustains the ancestral bones of manikay, dutifully curated through the generations as an integral, orthodox framework with complex social, legal, and religious significances. Here, discursive musical conversation is central to a non-appropriative engagement with cultural difference and musical forms from the past.

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0190.058
Scholarly communication0.0090.006
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.155
GPT teacher head0.336
Teacher spread0.181 · 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 designQualitative
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
Published2014
Admission routes1
Has abstractyes

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