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Record W4407421974 · doi:10.5117/9789048559015_ch02

Finding Kyo in Shiatsu Spaces

2025· book-chapter· en· W4407421974 on OpenAlexaff
Peter Skrivanic

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

This chapter utilises ethnographic engagements with practitioners of shiatsu , a form of manual therapy developed in Japan in the 20th century, to shed light on two issues relevant to the study of globalised East Asian spiritualities and therapies. First, it adopts a ‘worlding’ approach within the author&s;s multi-sited, transnational field site, as a way of mapping the spatiality of global movements of ideas and practices without utilising and reinforcing dichotomies such as East/West, while nonetheless attending to how such notions can remain salient within informants’ discourses and imaginaries. Second, by attending to the sensory dimensions of knowledge translation in shiatsu diagnostic practices, the study models one way for scholars of globalised East Asian spiritualities and health movements to engage with underexplored dimensions of how such knowledge practices work on and through the local minds and bodies who carry them into new environments.

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 score0.009
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0090.006
Scholarly communication0.0040.008
Open science0.0010.006
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.029
GPT teacher head0.282
Teacher spread0.253 · 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
Published2025
Admission routes1
Has abstractyes

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