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Record W2264260275

Rights-based judicial review and subtantive equality for aboriginal peoples: The case of Canada

2013· article· en· W2264260275 on OpenAlexaboutno aff
Emmanuelle Richez

Bibliographic record

VenueAustralian indigenous law review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsJurisprudenceLawJudicial reviewPolitical sciencePoliticsSupreme courtJudicial activismFundamental rightsJudicial interpretationGovernment (linguistics)Human rightsSociology
DOInot available

Abstract

fetched live from OpenAlex

In their attempts to obtain differential treatment under the law, Aboriginal peoples are increasingly choosing rights-based judicial review as a promising alternative to political negotiations. However, it remains to be seen to what extent, and under what conditions, rights-based judicial review will live up to the expectations Aboriginal people have vested in choosing this route. In order to measure the effectiveness of rights-based judicial review for Aboriginal peoples, this article proposes to study Canadian case law. More specifically, it reviews the constitutional jurisprudence of the Supreme Court of Canada pertaining to five key Aboriginal rights issues: fishing and hunting rights, institutional representation, welfare policies, land rights and self-government. It also considers how this jurisprudence was received and applied by governmental authorities. The article reveals that the constitutional recognition of specific Aboriginal rights, which go beyond fundamental political and civil rights brings about positive political change for Canada's Aboriginal communities, even though these rights have been given a narrow interpretation. However, in this climate of positive political change, the inability for Aboriginal peoples to obtain self-government through judicial review emerges as a clear problem. The article comes to the conclusion that institutional nation-building objectives may limit judicial review's potential for recognising a deep level of substantive equality for Aboriginal peoples.

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: none
Teacher disagreement score0.945
Threshold uncertainty score0.828

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.347
Teacher spread0.322 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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