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Record W1554265050 · doi:10.60082/2563-8505.1188

How Can There Be Any Sin in Sincere?: State Inquiries into Sincerity of Religious Belief

2010· article· en· W1554265050 on OpenAlexaboutno aff
Robert E. Charney

Bibliographic record

VenueSupreme Court law review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSinceritySupreme courtPlaintiffLawGovernment (linguistics)State (computer science)CharterJurisprudencePolitical scienceEstablishment ClauseSociologyFirst amendmentPhilosophyComputer science

Abstract

fetched live from OpenAlex

In Syndicat Northcrest v. Amselem, the Supreme Court of Canada held that while the government may inquire into the sincerity of a Charter claimant’s religious belief, such inquiries must be as limited as possible and may not rely on the only two objective criteria that may practicably be available to the state to test sincerity: consistent practice and expert opinions. This article expresses the view that the restrictions imposed by the Court in Amselem on the state’s inquiry into sincerity make it virtually impossible for the province to reliably weed out persons with “fictitious” or “capricious” claims, and this restriction may actually make it more difficult for the state to tolerate religious exemptions from laws of general application. The state’s ability to reliably test for religious sincerity became a central concern in Alberta’s decision to terminate the religious exemption for photo-I.D. driver’s licences, a policy which was upheld by the Supreme Court in the Hutterian Brethren case. The jurisprudence should permit the government to require evidence of a “shared and corroborated religious belief” in order to offer exemptions for members of religious communities while ensuring that the government’s objective can still be effectively achieved.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.034
GPT teacher head0.327
Teacher spread0.293 · 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 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

Citations2
Published2010
Admission routes1
Has abstractyes

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