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Record W2559641857 · doi:10.1515/lehr-2016-0013

Fragile Trust: Muslim Communities in Canada and the R v. NS Decision

2016· article· en· W2559641857 on OpenAlexaffabout
Patti Tamara Lenard

Bibliographic record

VenueLaw & Ethics of Human Rights · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSupreme courtLawCharterPolitical scienceHarmSinceritySociology

Abstract

fetched live from OpenAlex

Abstract In December 2012, the Canadian Supreme Court issued a ruling in R v. NS , in which a Muslim woman had demanded – citing her right to freedom of religion, as protected in the Canadian Charter of Rights and Freedoms – the right to cover her face, while giving testimony in a court of law. The defendants, also Muslim, demanded the right to see her face, in particular during cross-examination, as part of their right to the demeanor evidence that is necessary to provide “full answer and defense” and more generally as part of their right to a fair trial. The Supreme Court’s ruling stated that trial judges are entitled to make determinations about whether facial coverings must be removed, by weighing the rights of the accused to a fair trial against the rights of the accuser to freedom of religious practice, via what the court termed a “sincerity test.” This article considers the impact of the ruling and ultimately suggests that the decision will harm trust relations in Canada. In particular, the justifications offered in the judgment fail to respect the central objective of Canadian multiculturalism, i. e., to build trust among citizens of diverse backgrounds as a foundation for integrating minority communities into the public sphere on fair terms.

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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.999

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 studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.042
GPT teacher head0.310
Teacher spread0.269 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2016
Admission routes2
Has abstractyes

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