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Record W4414195377 · doi:10.3138/uhr-2024-0013

“Culture as a Precursor to Augmented Trade Relations”: Indonesian Musics, Multicultural Festivals, and Vancouver’s Changing Transpacific Identity, 1984–1986

2025· article· en· W4414195377 on OpenAlexaffvenueabout

Bibliographic record

VenueUrban History Review · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMusic History and Culture
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIndonesianThe artsMulticulturalismHegemonyPoliticsIdeologyGlobalizationCultural policy

Abstract

fetched live from OpenAlex

In the mid-1980s, Vancouver witnessed a sudden explosion in presentations of an Indonesian music tradition called gamelan. Brought to the city as part of an intentional programme of increasing economic connectivity with the wider Asia Pacific region, gamelan began appearing among other musics from the Pacific Rim on large stages at the 1985 Asia Pacific Festival and Expo 86. The emphasis on using arts and cultures to facilitate trade was explicitly expressed both within these festivals and by local, provincial, federal, and business interests, creating the appearance of a hegemonic programme leveraging arts and culture for economic ends, yet these developments also created the conditions wherein local artists could subvert the material and cultural resources and the ideologies bringing them to the city during this time. Throughout Expo 86, these artists recognized that, although their interests were not reflected in the utilitarian uses of Indonesian musical culture at the large festivals, there was an opportunity to channel these resources to their own ends. Examining the connections built between these artists, their larger community, the musicians present at the 1985 Asia Pacific Festival and Expo 86, and governments and institutions with transnational political and economic interests reveals that Vancouver’s changing transpacific political economy was a contested process that resulted in the creation of a long-standing community for the study and performance of Indonesian musics and arts in Vancouver.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.228
Threshold uncertainty score0.459

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0240.009
Scholarly communication0.0120.002
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.236
Teacher spread0.211 · 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
Published2025
Admission routes3
Has abstractyes

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