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Record W3168635531 · doi:10.1111/lasr.12549

Sacred distinctions: Law and the political regulation of Sikh Gurdwaras in British Columbia

2021· article· en· W3168635531 on OpenAlexafffundabout
Bonar Buffam

Bibliographic record

VenueLaw & Society Review · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan Campus
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPoliticsLawBureaucracyJurisdictionSociologyState (computer science)WorshipMateriality (auditing)Power (physics)SecularityCorporate governanceNeutralityPolitical science

Abstract

fetched live from OpenAlex

Abstract Since the 1990s, a sizeable body of case law has formed in the Canadian province of British Columbia in response to disputes over the political leadership of local gurdwaras, the name for Sikh places of worship and assembly. Although the disputes stemmed from religious and political disagreements, the legal issues addressed by the courts concern the proper bureaucratic administration of Sikh institutions that have been legally incorporated as nonprofit “societies.” Through a textual analysis of 55 legal decisions related to gurdwara leadership disputes, this article explains how the courts have decided these cases without ceding the pretense of secular neutrality by mobilizing a series of shifting discursive distinctions between religion, politics, materiality, civil society, and bureaucratic procedure. Building on critical secular and sociolegal theory, this article tracks how law is able to establish and extend the state's jurisdiction over Sikh practices and populations through its capacity to inscribe and delimit the social and political parameters of religion. It illustrates how this case law serves as a mechanism of racial governance by extending forms of surveillance and legal intervention that work to embed the diasporic practices of Sikh communities within the spheres of Canadian state power.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.234
Teacher spread0.213 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreReview

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

Citations1
Published2021
Admission routes3
Has abstractyes

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