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Record W2553814475 · doi:10.14288/1.0221382

Canadian clarinet music as multicultural action

2015· article· en· W2553814475 on OpenAlexaboutno aff
Shawn Hubert Earle

Bibliographic record

VenuecIRcle (University of British Columbia) · 2015
Typearticle
Languageen
FieldDecision Sciences
TopicResearch, Science, and Academia
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)MulticulturalismCommunicationVisual artsArtLinguisticsSociologyPedagogyPhilosophy

Abstract

fetched live from OpenAlex

Despite the wealth of Canadian clarinet repertoire, most of the existing studies focus only on pedagogy for student performers. Its significance and merit can better be understood, however, by considering its cultural context, especially through the perspective of Canadian identity. Canada’s social framework directly impacts its musical output and reflects Canada’s core values, especially multiculturalism, which became government policy in 1971. Using multiculturalism as a focal point for examining Canadian clarinet repertoire, this study explores the ways in which music performance is a multicultural action rather than simply stating the fact of social pluralism. From a list of Canadian clarinet works reflecting multiculturalism, selected works have been chosen for detailed study. Empty Sky by Elliot Weisgarber, Sitpatsimoyi by Robert Rosen, Anerca II by Milton Barnes, and Between the Shore and the Ships by Derek Charke are four Canadian works which use the clarinet as a solo instrument and reflect the ethnocultural groups the Canadian Multiculturalism Act accommodates: immigrants, First Nations, and French-speaking people. Selected works are examined from contextual and musical perspectives for representations of ethnocultural identity. Likewise, performance decisions are discussed revealing how performance is a multicultural gesture requiring musical, contextual, and social analysis. The evaluation of these factors are consolidated into performance which musically illustrates an understanding and sensitivity to ethnocultural accommodation and comments on social issues making each performance a multicultural action.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.076
Threshold uncertainty score0.554

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0240.015
Scholarly communication0.0100.002
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.104
GPT teacher head0.302
Teacher spread0.197 · 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
Published2015
Admission routes1
Has abstractyes

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