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Record W4394599116 · doi:10.7202/1110552ar

On the Path of No-Character: Zeami’s Traces Walked Back and Forward

2024· article· en· W4394599116 on OpenAlexvenueno aff
Álvaro Iván Hernández Rodríguez

Bibliographic record

VenuePerformance Matters · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsCharacter (mathematics)Path (computing)HistoryComputer scienceMathematicsGeometryComputer network

Abstract

fetched live from OpenAlex

This essay thinks through the journey of being and becoming a character, as it is repeated over decades, focusing on the experience of the author performing his monologue Los Nueve Monstruos (itself based on a poem by Cesar Vallejo). The repeated performance of this monologue over three decades becomes a way of feeling and registering the change of the body and self through the iterative taking-form of a character. The essay reflects upon the changes produced in both the character and the performer during those many encounters over the years, first in Putumayo with the Kamentsa Indigenous peoples, then over the Andes to Colombia’s capital city of Bogotá, and across both the Atlantic and Pacific to Europe and Asia. Embodied encounters of the performer/author with the Noh tradition of Japan and Zeami’s philosophical approach to performance transforms Los Nueve Monstruos—moving from the approximation of the idea of a character to the notion of no-character, a concept of transition that focuses on the vibratory quality and sounding experience of “in-provisation.”

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 score0.025
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.019
Scholarly communication0.0050.007
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.231
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 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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