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Record W4394599198 · doi:10.7202/1110549ar

Yuriko Doi’s Teaching and Transmission of Noh and Kyōgen in San Francisco

2024· article· en· W4394599198 on OpenAlexvenueno aff
Judith Halebsky

Bibliographic record

VenuePerformance Matters · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsExplicationDanceSingingVisual artsArtPsychologyLinguisticsManagementPhilosophy

Abstract

fetched live from OpenAlex

Yuriko Doi founded the Theatre of Yugen in San Francisco and taught American students noh and kyōgen for more than thirty years. Noh theatre, in living practice in Japan for more than six hundred years, incorporates music, dance, acting, and singing. While noh is serious and sombre, kyōgen is a comedic form traditionally performed within or between noh plays. Starting in the late 1970s, Doi’s Theatre of Yugen performed new works inspired and informed by noh as well as kyōgen in English around the US and also in Japan. Noh training ideally begins in childhood as one-on-one study with a teacher and continues into adulthood. The transmission of noh is considered to be from body (teacher) to body (student) without verbal explication. To teach students in an ensemble theatre company in California, Doi adapted aspects of the transmission process as well as aspects of the form. Doi taught the exterior qualities of movement and vocal technique and, at the same time, tried to instill a sense of noh’s interior qualities, which include time, aesthetic intensity, and art practice as a life path. While teaching noh and kyōgen, Doi wants her students to draw from all of their training and influences. She explains that trying to hide other performance traditions held in the body, such as Western acting technique, will deflate the energy of a performance. She argues that if an actor can develop a complex sense of noh they can integrate it with all of the other knowledge structures in the body, which will lead to a masterful performance. Based on a series of interviews with Doi, the treatises of noh founder Zeami Motokiyo, and recent scholarship on noh, this essay examines the practice and transmission of noh and how the art is continued and revised through Doi’s work.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0120.001

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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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
Published2024
Admission routes1
Has abstractyes

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