Bibliographic record
Abstract
The chapter contends that performances by the all-women’s taiko group Jodaiko highlight the intersectional nature of identity for the queer Asian, Asian American, and Asian Canadian women who make up the group. Jodaiko performs annually at two events in Vancouver, BC: the Powell Street Festival and a queer performance series connected to LGBTQ Pride. This chapter argues that Jodaiko queers North American taiko and demonstrates this in three ways: through an exploration of group members’ everyday gender performances of female masculinity; by analyzing the group’s “homo-geneity,” or uniformly Asian American queerness in a performance of Tiffany Tamaribuchi’s song “Kokorozashi,”; and through a close performance analysis of Tamaribuchi’s queer re-working of traditional Japanese masculinity in her solo performances on the o-daiko. Such readings are enabled by the erotic valences of taiko, which spectators experience kinesthetically when they watch live taiko performances.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.080 | 0.024 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".