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Record W2902882691 · doi:10.1163/18710328-13021142

Bent Out of Shape: Fictions of Yoga and Religion before the Courts

2018· article· en· W2902882691 on OpenAlexaff
Dia Dabby, Amélie Barras

Bibliographic record

VenueReligion and Human Rights · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsYork UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsSecularismSalientSociologyAestheticsSection (typography)LawPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Abstract We engage with the practice of yoga in Californian public schools through a recent case to examine the discursive mechanisms at play when a practice is shaped as religious (or not). A correlation is made between the practice of yoga in schools and male circumcision, to think about its secular/religious vocation. This line of questioning is salient in exploring how law curates the body of the “secular” “modern” child. We argue that yoga, like circumcision, is an example of an ambidextrous practice that can be curated as either “religious” or “secular”. Section 1 provides a brief genesis of our legal cases and theoretical proposal for secularism as a curating practice. Section 2 offers discursive analyses of religious practice, as well as culture and health through yoga’s postures. Ultimately, we seek to critically examine the manner, mechanisms and methods through which different practices exercised by children or on their bodies are (re)shaped by/through the courts.

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)0.004
metaresearch head score (Gemma)0.009
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: none
Teacher disagreement score0.039
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0190.052
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0060.010
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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