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Record W2966209328 · doi:10.18573/mas.88

From the Dragon to the Beast: The Martial Monk and Virtual Ninja as Actual Martial Artists

2019· article· en· W2966209328 on OpenAlexaff
Chris Goto-Jones

Bibliographic record

VenueMartial Arts Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMartial artsManifestoArgument (complex analysis)Visual artsEvent (particle physics)The artsArtAestheticsLiteratureSociologyLawPolitical science

Abstract

fetched live from OpenAlex

Navigating between society’s moral panics about the influence of violent videogames and philosophical texts about selfcultivation in the martial arts, this extract from the monograph, The Virtual Ninja Manifesto: Fighting Games, Martial Arts, and Gamic Orientalism, asks whether the figure of the ‘virtual ninja’ can emerge as an aspirational figure in the twenty-first century, modeled on the 'event' of Bruce Lee. The work seeks to illustrate the argument that the kind of training required to master videogames approximates the kind of training described in Zen literature on the martial arts. It suggests that the shift from the actual dōjō to a digital dōjō represents only a change in the technological means of practice. It explores the possibility that, after Bruce Lee and Daigo Umehara, martial arts games can promote spiritual development.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0110.015
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.290
Teacher spread0.269 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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