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Record W2465031319 · doi:10.1515/lehr-2016-0002

Squaring the Circle of Multiculturalism? Religious Freedom and Gender Equality in Canada

2016· article· en· W2465031319 on OpenAlexaboutno aff
Ayelet Shachar

Bibliographic record

VenueLaw & Ethics of Human Rights · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsMulticulturalismCharterCitizenshipInclusion (mineral)LawSociologyPolitical scienceDiversity (politics)Minority rightsImmigrationHuman rightsGender studies

Abstract

fetched live from OpenAlex

Abstract The Canadian Charter of Rights and Freedoms is globally unique in that it includes explicit commitments to the values of multiculturalism and gender equality. Section 27 of the Charter provides that: “[It] shall be interpreted in a manner consistent with the preservation and enhancement of the multicultural heritage of Canadians,” whereas section 28 states that: “Notwithstanding anything in this Charter, the rights and freedoms referred to in it are guaranteed equally to male and female persons.” The Canadian experiment (as I will call it) offers us a rare, living laboratory in which a thriving constitutional system searches for legal and institutional pathways to addressing seemingly incongruous demands, obligations, rights, and protections. This article identifies a range of concrete legal responses developed and articulated by Canadian judges and other policymakers in response to claims for fair inclusion raised by members of religious minority communities. Contributing to ongoing theoretical and legal debates, I will conceptualize three variants of such fair inclusion claims. I will then assess what the Canadian multicultural experiment can teach other comparable countries about principled and pragmatic responses to the challenge of “living together” in shared spaces such as workplaces, schools, courthouses, and during citizenship ceremonies. The discussion will then explore the promises and pitfalls of a jurisprudential approach that resists the hierarchy of rights formulas, and tries instead to cover all grounds so as to neither erase diversity nor sacrifice equality.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.163
Threshold uncertainty score0.971

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0320.016
Scholarly communication0.0080.002
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0080.000

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 head0.059
GPT teacher head0.339
Teacher spread0.281 · 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 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

Citations6
Published2016
Admission routes1
Has abstractyes

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