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Record W2004818475 · doi:10.1080/00223344.2011.607260

Transnational<i>Hula</i>as Colonial Culture

2011· article· en· W2004818475 on OpenAlexaboutno aff
Adria L. Imada

Bibliographic record

VenueJournal of Pacific History · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismHistoryAnthropologyEthnologyAncient historySociologyArchaeology

Abstract

fetched live from OpenAlex

During what was perhaps the first transnational hula tour of North America and Europe between 1892 and 1896, hula performers received sustained attention during a critical period when Hawai‘i's political status and proposed annexation by the US was a topic of national and international debate. Given Hawai‘i's subordinate economic and political status even prior to formal colonisation in 1898, hula operated as a form of colonial culture that became a part of mass, racialised entertainment on the rise in Europe and the US. While little known today, hula dancers who were previously members of the royal Hawaiian court circulated through international expositions, vaudeville theatres, dime museums and café-concerts. This gendered and sexualised colonial exhibition of hula associated Hawai‘i with the eroticised bodies and movements of women. However, late-19th-century Euro-American circuits also systematised opportunities for non-chiefly Hawaiian women to perform gendered cultural knowledge, travel and work. To illuminate the ambivalent character of transnational hula, as both colonial culture and opportunity for women performers, this paper traces the experiences of one member of the troupe: Kini Kapahu (also known as ‘Jennie Wilson’), previously a court dancer and later known as Hawai‘i's ‘first lady’.

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 score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0090.010
Scholarly communication0.0080.004
Open science0.0010.004
Research integrity0.0010.003
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 head0.024
GPT teacher head0.254
Teacher spread0.230 · 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

Citations17
Published2011
Admission routes1
Has abstractyes

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