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Thin or Thick Inclusiveness? The Constitutional Duty to Consult and Accommodate First Nations in Canada

2019· article· en· W2985847885 on OpenAlexafffundabout
Ian Urquhart

Bibliographic record

VenueLondon Journal of Canadian Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Alberta
FundersCanadian Association of Petroleum Producers
KeywordsConstitutionTreatyLawInterpretation (philosophy)DutyJurisprudenceContext (archaeology)Political scienceJudicial interpretationHuman rightsSociologyHistory

Abstract

fetched live from OpenAlex

Abstract What has the addition of aboriginal rights to the Canadian constitution in 1982 meant for the place of First Nations’ interests in the Canadian constitutional order? This article considers this question in the context of natural resource exploitation – specifically, the exploitation of the oil or tar sands in Alberta. It details some of the leading jurisprudence surrounding Section 35 of the Constitution Act 1982, the section of the Constitution recognizing existing aboriginal and treaty rights. Arguably, Section 35 represented an important effort to improve the status of aboriginal peoples in Canada, to enhance the extent to which Canada included and respected the values and interests of First Nations. The article specifically considers how the judicial interpretation of the Crown’s duty to consult and accommodate aboriginal peoples is related to the theme of inclusivity. It argues that the general thrust of judicial interpretation has promoted a thin, or procedural, version of inclusiveness rather than a substantive, or thicker, one. Such a thicker version of inclusiveness would be one in which the pace of oil sands exploitation is moderated or halted in order to allow First Nations to engage in traditional activities connected intimately with aboriginal and treaty rights.

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)0.019
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: Empirical · Consensus signal: none
Teacher disagreement score0.078
Threshold uncertainty score0.567

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0230.040
Scholarly communication0.0150.003
Open science0.0020.005
Research integrity0.0050.009
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 head0.024
GPT teacher head0.298
Teacher spread0.275 · 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
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

Citations5
Published2019
Admission routes3
Has abstractyes

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Same venueLondon Journal of Canadian StudiesSame topicIndigenous Health, Education, and RightsFrench-language works237,207