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Record W2887193794 · doi:10.3138/cjwl.30.2.05

<i>Alberta v Hutterian Brethren of Wilson Colony</i>

2018· article· en· W2887193794 on OpenAlexaboutno aff
Jennifer Koshan, Jonnette Watson Hamilton

Bibliographic record

VenueCanadian Journal of Women and the Law/Revue Femmes et Droit · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCharterSection (typography)Supreme courtLawContext (archaeology)Government (linguistics)High CourtPolitical scienceSociologyHistoryPhilosophyBusiness

Abstract

fetched live from OpenAlex

In Alberta v Hutterian Brethren of Wilson Colony, a majority of the Supreme Court of Canada dismissed the claim of members of the Wilson Colony that Alberta's requirement for photographs on driver's licences unjustifiably violated their rights under section 2(a) and 15(1) of the Canadian Charter of Rights and Freedom. This Women's Court of Canada judgment focuses on the equality rights challenge under section 15(1), which was given short shrift by the Court. The authors propose a new framework for analyzing equality claims under section 15(1) that attempts to respond to some of the concerns with the Court's judgment in R v Kapp, especially for cases of adverse effects discrimination—an area of equality rights law of particular importance for women. Applying the new framework, the authors attend to the social and historical context of the Hutterian Brethren and find that a violation of section 15 is made out. They also reconsider the Court majority's reasons under section 1 of the Charter, critiquing the majority's deferential approach to government and the threat it poses to the rights of some religious and racialized women perceived to present security risks. By making more space for reasonable accommodation and the contextual consideration of deleterious effects under section 1, the authors hold that the violation of section 15(1) cannot be justified.

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 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 score0.894
Threshold uncertainty score0.791

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 studies0.0010.002
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 head0.025
GPT teacher head0.271
Teacher spread0.247 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Women and the Law/Revue Femmes et DroitSame topicMulticultural Socio-Legal StudiesFrench-language works237,207