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Record W2796284979

AMELIORATIVE PROGRAMS AND THE CHARTER: REFLECTIONS ON THE SECTION 15(2) LANDSCAPE SINCE R V KAPP

2017· article· en· W2796284979 on OpenAlexaboutno aff
Jena McGill

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)CharterScrutinyDeferenceSupreme courtLawJurisprudenceSuspectPolitical scienceGovernment (linguistics)PhilosophyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Section 15(2) of the Canadian Charter of Rights and Freedoms affirms the importance of ameliorative laws and programs in the pursuit of substantive equality. In its 2008 decision in R v Kapp, the Supreme Court of Canada interpreted section 15(2) as having independent force to “save” suspect distinctions in government laws, programs or activities that have an ameliorative purpose from scrutiny under section 15(1) or section 1 of the Charter when certain conditions are met. Following Kapp, advocates and commentators expressed various concerns about the new framework for section 15(2) of the Charter. This paper reflects on four of these concerns in light of the small, but growing, body of jurisprudence on section 15(2) that has emerged in the years since the Kapp decision: (1) the application of the Kapp analysis in cases alleging a law or program with an ameliorative purpose is underinclusive; (2) the lack of guidance on what constitutes an “ameliorative law, program or activity” for the purposes of section 15(2); (3) the proper relationship between the section 15(2) analysis and consideration of ameliorative purpose and effects at the section 15(1) stage; and, (4) deference and justification under section 15(2). The paper concludes that there are significant ongoing uncertainties with the Kapp framework for section 15(2), and suggests that section 15(1) of the Charter can protect ameliorative laws and programs in a more principled and equality-enhancing manner than the Kapp framework.

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)0.034
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.768
Threshold uncertainty score0.576

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0340.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0210.073
Scholarly communication0.0270.012
Open science0.0050.008
Research integrity0.0200.034
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.341
Teacher spread0.309 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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Same venueSSRN Electronic JournalSame topicLegal Issues in South AfricaFrench-language works237,207