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Record W3123568123

Kahkewistahaw First Nation v. Taypotat – Whither Section 25 of the Charter?

2016· article· en· W3123568123 on OpenAlexaffabout
Jennifer Koshan, Jonnette Watson Hamilton

Bibliographic record

VenueSSRN Electronic Journal · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsSupreme courtLawCharterPolitical scienceJurisprudenceContext (archaeology)Section (typography)TreatySociologyHistory
DOInot available

Abstract

fetched live from OpenAlex

In the Supreme Court of Canada’s most recent equality rights decision, Kahkewistahaw First Nation v Taypotat, the Court unanimously dismissed a section 15(1) Charter challenge to a community election code requirement that members of the First Nation running for Chief or Band Councillor have a Grade 12 education or its equivalent. Rejecting Taypotat’s argument that the election code was discriminatory, the Court focused on the objectives of adopting the education requirement. The requirement could have been seen as a matter to be shielded by section 25 of the Charter, which requires Charter rights to be interpreted so as not to derogate from Aboriginal, treaty or other rights. However, section 25 was not argued before nor addressed by the Supreme Court in Taypotat. The Court has not considered section 25 since its 2008 decision in R v Kapp, and only the concurring judgment of Justice Bastarache in Kapp fully explored its implications. We argue that the failure to consider section 25 in Taypotat was a missed opportunity, especially because it is the only Supreme Court section 15(1) decision to date with an Aboriginal government as respondent (out of a total of eight Charter equality rights decisions in an Aboriginal context). Our paper reviews the potential application of section 25 in Taypotat, and concludes with a plea to litigators and the courts to move section 25 jurisprudence forward.

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)0.003
metaresearch head score (Gemma)0.009
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: Other
Teacher disagreement score0.320
Threshold uncertainty score0.645

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0080.003
Open science0.0020.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.0050.001

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 head0.018
GPT teacher head0.258
Teacher spread0.240 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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