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Record W2887699319 · doi:10.3138/cjwl.30.2.04

<i>R v Kapp</i>

2018· article· en· W2887699319 on OpenAlexaboutno aff
Sonia Lawrence

Bibliographic record

VenueCanadian Journal of Women and the Law/Revue Femmes et Droit · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtLawPrima facieJurisprudenceDoctrineSection (typography)Argument (complex analysis)IndigenousPolitical scienceRace (biology)SociologyGender studiesBusiness

Abstract

fetched live from OpenAlex

This judgment of the Women's Court of Canada takes issue with the reasons, but not the result, in the Supreme Court of Canada's treatment of R v Kapp. It concludes that the Supreme Court was wrong to accept the argument that there was discrimination on the ground of race. Discrimination under section 15 has three required parts: differentiation on an enumerated or analogous ground that is discrimination. Noting that the meaning of “race” is little discussed in jurisprudence of the Supreme Court, the judgment demonstrates that the arguments made in Kapp and the nature of the impugned regulations do not support a conclusion of differentiation on the ground of race (although they may support differentiation on the ground of Band membership). If Kapp is not a case in which the appellants had all of the elements of a section 15 claim, then it was not an appropriate case in which to provide guidance on the doctrine of section 15(2) and section 25. Sections 35 and 25 resist the racialization of Indigenous peoples in Canada, and together with case law, they offer a solid constitutional basis—indeed, requirement—for the recognition of Indigenous sovereignties. Kapp, though it ultimately provides a safe haven for ameliorative programs, ignores the constitutional position of the Musqueam, Tsleil-Waututh (Burrard), and Tsawwassen Nations affected by the regulations at issue. The Supreme Court should not have considered section 15(2), as there was no prima facie case under section 15(1) of discrimination on the basis of race, and the claim should have failed on that basis.

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)0.002
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: none
Teacher disagreement score0.868
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.023
GPT teacher head0.275
Teacher spread0.252 · 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 topicLegal Issues in South AfricaFrench-language works237,207