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Record W3202019399

The United Nations Declaration on the Rights of Indigenous Peoples and the Division of Powers: Considering Federal and Provincial Authority in Implementation

2021· article· en· W3202019399 on OpenAlexaff
Robert Hamilton

Bibliographic record

VenueSSRN Electronic Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsLegislationJurisdictionPublic administrationDeclarationPolitical scienceGovernment (linguistics)IndigenousState (computer science)LawFederalismCLARITYPolitics
DOInot available

Abstract

fetched live from OpenAlex

With the federal and some provincial governments committed to implementing the United Nations Declaration on the Rights of Indigenous Peoples, questions have largely shifted from whether the Declaration should be implemented to the mechanics of implementation. This paper enters into this discussion by analyzing the impact of the constitutional division of powers on implementation efforts. In this, it seeks to provide some clarity about what the federal and provincial governments can hope to achieve in respect of implementation in light of the ambit of their respective constitutional authority. This will provide some insight, it is hoped, into what can reasonably be expected of implementation at the federal and provincial levels. Three preliminary questions give shape to this inquiry: why is there a need for both federal and provincial implementing legislation? What can legislation from each level of government hope to achieve? What will happen if federal and provincial implementation legislation conflict? Part 1 provides a brief account of the legal parameters of UNDRIP implementation. Part 2 addresses issues raised by implementation in a federal state. Part 3 considers the scope of federal and provincial jurisdiction in detail. Parts 4 and 5 look at potential conflicts that may arise; the former considers scenarios in which the federal government seeks to exercise its jurisdiction to impose implementation standards on reluctant provinces, while the latter considers a scenario wherein a province pursues implementation at odds with federal legislation.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.019
GPT teacher head0.304
Teacher spread0.285 · 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.

Study designTheoretical or conceptual
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 routes1
Has abstractyes

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