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Drumming Asian America

2018· book· en· W2803512468 on OpenAlexaboutno aff
Angela K. Ahlgren

Bibliographic record

VenueOxford University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicAsian Culture and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGender studiesPopularityEthnomusicologyVariety (cybernetics)Identity (music)DynamismEthnic groupAsian americansDanceRace (biology)EthnographyInvisibilityAmerican studiesLatino studiesMedia studiesSociologyAnthropologyAestheticsVisual artsHumanitiesArtPsychologySocial psychologyMusical

Abstract

fetched live from OpenAlex

With its dynamic choreographies and booming drumbeats, taiko has gained worldwide popularity since its emergence in 1950s Japan. Harnessed by Japanese Americans in the late 1960s, taiko’s sonic largesse and buoyant energy challenged stereotypical images of Asians in America as either model minorities or sinister foreigners. While the majority of North American taiko players are Asian American, more than four hundred groups now exist across the United States and Canada, and these groups are comprised of people from a variety of racial and ethnic identities. Using ethnographic and historical approaches combined with performance description and analysis, this book explores the connections between taiko and Asian American cultural politics at the intersections of race, gender, and sexuality. Based on original and archival interviews, as well as the author’s extensive experience as a taiko player, this book highlights not only the West Coast but also the Midwest as a site for Asian American cultural production and makes embodied experience central to inquiries about identity. The book builds on insights from the fields of dance studies, ethnomusicology, performance studies, and Asian American studies to argue that taiko players from a variety of identity positions “perform Asian America” on stage, as well as in rehearsals, festivals, and schools and through interactions with audiences. While many taiko drummers play simply for the love of the form’s dynamism and physicality, this book demonstrates that politics is built into even the most mundane aspects of rehearsing and performing.

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 categoriesMeta-epidemiology (narrow)
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 score0.264
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.022
GPT teacher head0.242
Teacher spread0.220 · 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.

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

Citations5
Published2018
Admission routes1
Has abstractyes

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