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Record W1899158120

R v Kapp : a model for South African affirmative action jurisprudence?

2009· article· en· W1899158120 on OpenAlexaboutno aff
JL Pretorius

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsAffirmative actionJudgementSupreme courtJurisprudenceLawPolitical scienceRemedial educationOrder (exchange)Dual (grammatical number)SociologyPhilosophyEconomicsLinguistics
DOInot available

Abstract

fetched live from OpenAlex

In the recent case of R v Kapp, the Canadian Supreme Court reconsidered the relationship between affirmative action and the right to non-discrimination. Unlike the previous judgement of Lovelace v Ontario, the court decided that governmental measures with an ameliorative objective are not susceptible to an attack based on the right to non-discrimination. In essence, the court held that in order to be constitutional, affirmative action needs to satisfy a rational relationship test only. This deviates from the approach in Lovelace, where the court attempted to establish an integrated approach in order to facilitate the dual function of the equality clause to both allow remedial measures and to prevent discrimination. Kapp did not succeed in aligning the affirmative action clause with a comprehensive, inclusive and integrative notion of substantive equality. The judgement is important for South Africa because of the methodological and doctrinal similarity of the two countries’ equality law, as well as the textual resemblance between their respective affirmative action clauses and the fact that the Constitutional Court’s leading judgement in this respect, Minister of Finance v Van Heerden, closely resembles the reasoning of Kapp.

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)0.010
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: Other
Teacher disagreement score0.023
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.033
Scholarly communication0.0110.016
Open science0.0030.006
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0090.002

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 head0.343
Teacher spread0.313 · 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
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
Published2009
Admission routes1
Has abstractyes

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