MétaCan
Menu
Back to cohort
Record W3131520774 · doi:10.1002/j.sda2.20140401.0003

Swaying Mountains: Moving into Stillness in a Hot Yoga Community

2014· article· en· W3131520774 on OpenAlexaffabout
Julien Cossette

Bibliographic record

VenueStudent Anthropologist · 2014
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsYork University
Fundersnot available
KeywordsEmbodied cognitionMovement (music)AestheticsSociologyPsychologyEpistemologyArtPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article contributes to a growing body of anthropological work on the senses and on yoga as an experiential, embodied practice. It began as an inquiry into the oxymoronic lumping of movement and stillness in yoga teachers’ suggestion to “move into stillness.” Through an autoethnographic description of my sweaty participation in a hot yoga community of the Greater Toronto Area, my aim is to explore this particular relation between movement and stillness. I first discuss my contention that hot yoga is a “kinaesthetic culture” (Samudra 2008:666)—a culture mediated by movement that highly values a sense of motion as a way of knowing—that considers body, mind, and breath as interconnected. I then elaborate on a sensory model specific to its practice, and further argue that yoga cannot be adequately represented by the limits of a Western five‐sense model, based on binary oppositions of movement/stillness and mind/body, which problematically excludes kinaesthesia from its sensorium. Finally, I return to my initial inquiry to discuss how the embodied mutual constitution of movement and stillness actually constitutes, in my view, the epitome of a larger biosocial configuration of a yogic way of moving and sensing.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.385
Teacher spread0.348 · 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 teacher head, not a consensus.

Study designObservational
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
Published2014
Admission routes2
Has abstractyes

Explore more

Same venueStudent AnthropologistSame topicDiversity and Impact of DanceFrench-language works237,207