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From Honolulu to Havana

2017· book· en· W4252402783 on OpenAlexaboutno aff
Nancy Yunhwa Rao

Bibliographic record

VenueUniversity of Illinois Press eBooks · 2017
Typebook
Languageen
FieldSocial Sciences
TopicHong Kong and Taiwan Politics
Canadian institutionsnot available
Fundersnot available
KeywordsOperaThe RenaissanceMandarin ChineseArt historyHistoryGenealogyVisual artsCartographyGeographyArtLinguistics

Abstract

fetched live from OpenAlex

Though the Cantonese opera network spanned the Americas, its manifestation in any particular place varied according to local conditions. This chapter considers three Chinese theaters (in Honolulu, Vancouver, and Havana) of the 1920s to offer further perspectives on the renaissance of Cantonese opera during that decade. Through this study, we gain a fuller appreciation of how Chinese opera theaters were linked to, steered by, and shaped by the larger transnational performing network, and in turn, how the larger network was affected by them. Kue Hing was the company based in Vancouver that brought opera theater to Honolulu. Meanwhile, in Vancouver a theater was reestablished in the name of Mandarin Theater, though no owned by the theater of the same name in San Francisco. Finally, through a recently discovered set of correspondences among family members disbursed in US, Cuba and Canada, the chapter unveils the working of transnational network at the ground level.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.194
Threshold uncertainty score0.951

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.263
Teacher spread0.222 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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