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Record W2521091882

On Collective Constitutional Rights: Lessons for Religious Rights from Language Rights

2016· article· en· W2521091882 on OpenAlexaffabout
Howard Kislowicz

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Freedom and Discrimination
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSupreme courtJurisprudencePolitical scienceIndividualismLawAutonomyFundamental rightsLinguistic rightsReservation of rightsInternational human rights lawRights of NatureContext (archaeology)SociologyRight to propertyHuman rights
DOInot available

Abstract

fetched live from OpenAlex

Should institutions or communities, rather than individuals, be entitled to bear and assert religious rights? This article examines Canada’s recent jurisprudence on linguistic rights as a potential source of inspiration for answering this question, which the majority of the Supreme Court of Canada has declined to answer definitively. Recent Canadian jurisprudence has had little trouble in understanding the collective dimensions of linguistic rights, and in recognizing the institutional bodies that may assert them. It has, in fact, asserted the importance of a community's autonomy over its institutions as an aspect of linguistic rights. Admittedly, the constitutional text gives more explicit support to the collective and institutional dimensions of language rights. Nevertheless, the Supreme Court of Canada’s explanations of the why linguistic rights are best understood collectively can apply with similar force in the religious context. This lends some support to the claims that religious rights have collective dimensions that are obscured by an overly individualistic approach.

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)0.009
metaresearch head score (Gemma)0.010
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 score0.425
Threshold uncertainty score0.846

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0110.109
Scholarly communication0.0100.014
Open science0.0020.007
Research integrity0.0070.011
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.296
Teacher spread0.285 · 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

Citations1
Published2016
Admission routes2
Has abstractyes

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Same venueSSRN Electronic Journal→Same topicReligious Freedom and Discrimination→French-language works237,207→