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Record W3176248194 · doi:10.3138/ijcs.58.x.73

The Duty to Consult and Reconciliation: The Supreme Court’s Idea of the Purpose and Practice of Consulting Indigenous Peoples

2021· article· en· W3176248194 on OpenAlexaffvenueabout
Minh Do

Bibliographic record

VenueInternational Journal of Canadian Studies · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIndigenousDutyLawSupreme courtObligationPolitical scienceContext (archaeology)SovereigntyHigh CourtConstitutionSociologyHistoryPolitics

Abstract

fetched live from OpenAlex

The duty to consult is an Aboriginal right protected under s. 35 in the Constitution Act, 1982. This article analyzes 11 Supreme Court of Canada (SCC) decisions concerning the duty to consult and distinguishes between the SCC’s promotion of the purpose and practice of reconciliation. This distinction more accurately depicts how the SCC understands why and how the Crown should advance reconciliation in the context of the duty to consult. This article finds that the SCC has consistently stated that reconciliation is required due to the existence of Aboriginal rights and the assertion of Crown sovereignty, creating an obligation to reconcile Indigenous and non-Indigenous societal interests. However, the practices outlined by the SCC on how the Crown can fulfill the duty suggest that the Crown is given a wide latitude to pursue its legislative objectives, which may result in the unjust infringement of Aboriginal rights over time. For instance, the Crown has discretion over the communication of decision-making to affected Indigenous parties and the balancing of Indigenous and non-Indigenous societal interests. Consequently, the practices of the duty to consult call into question the extent to which the duty can uphold the purpose of reconciliation between the Crown and Indigenous 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 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)0.015
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.204
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.019
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0310.110
Scholarly communication0.0200.007
Open science0.0040.007
Research integrity0.0200.016
Insufficient payload (model declined to judge)0.0020.000

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 head0.051
GPT teacher head0.347
Teacher spread0.297 · 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 designQualitative
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

Citations1
Published2021
Admission routes3
Has abstractyes

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