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Record W4412530400 · doi:10.1080/11926422.2025.2530601

Implementing UNDRIP Article 27 in Canada: assessing the role and promise of joint indigenous-crown adjudication

2025· article· en· W4412530400 on OpenAlexaffabout
Rebeca Macias Gimenez, Ryan Beaton

Bibliographic record

VenueCanadian Foreign Policy Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversity of British ColumbiaUniversity of Alberta
Fundersnot available
KeywordsAdjudicationIndigenousPolitical scienceJoint (building)Crown (dentistry)Public administrationLawEngineeringMedicineCivil engineering

Abstract

fetched live from OpenAlex

The Crown’s duty to consult Indigenous peoples on potential adverse impacts on Aboriginal Rights and Title has become a cornerstone of Canadian Aboriginal law over the past 20 years. However, critical gaps remain in available legal protections. For instance, while administrative decisions, such as permitting for natural resource extraction, are subject to the duty to consult, they cannot be challenged for potentially infringing rights until the alleged infringements have occurred and affected Indigenous groups can marshal the resources necessary to bring their claims to court. This vulnerability has hindered the potential for section 35 of the Constitution Act, 1982, to recognize and uphold Indigenous laws and jurisdiction. We argue that good-faith implementation of UNDRIP Article 27 – calling for the establishment of joint Indigenous-Crown processes for adjudicating issues relating to the rights of Indigenous peoples – would help address such gaps and vulnerabilities. We examine statutes, bills and government-to-government agreements that recognize Indigenous law-making power, as well as recent court decisions, notably Montour (QCSC 2023), and Restoule (SCC 2024), to assess how implementation of Article 27 might cohere with and further develop the current state of the law.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.278
Teacher spread0.267 · 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 designObservational
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
Published2025
Admission routes2
Has abstractyes

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