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Resource rights of Indigenous Peoples and the judicial practice of their observance in Canada

2022· article· en· W4409478258 on OpenAlexaboutno aff
Oxana Pimenova

Bibliographic record

VenueSravnitel noe konstitucionnoe obozrenie · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousPolitical scienceLawResource (disambiguation)Computer science

Abstract

fetched live from OpenAlex

Resource rights of Indigenous Peoples form the basis of their Indigenous way of life. To preserve it, the United Nations Declaration of the Rights of Indigenous Peoples calls upon nation states to observe and legally guarantee the resource rights of Indigenous Peoples. In its first section, the paper studies the judicial steps undertaken by Canada to recognize and enforce Indigenous resource rights. Indigenous land rights (titles) receive special attention in the paper’s second section. Focusing on the history of judicial decisions determining Indigenous titles, the paper traces how the Supreme Court of Canada has treated Indigenous titles as an element of the Canadian legal system. To establish the legal boundaries of Indigenous titles, the Court introduced special criteria for evaluating and adjudicating the presence of Indigenous titles. Unfortunately, some of those criteria have not contributed to legal certainty in recognizing Indigenous titles by the Canadian government and actually have restrained Indigenous communities from claiming and possessing these rights on their ancestral lands. The paper reveals these judicial dynamics and connects them with administrative efforts made by the Canadian government to control the use of Indigenous lands, especially as to resource extraction even if this negatively affects the lives of Native Peoples. The third section of the paper studies the constitutionally required consultations with Indigenous peoples, which are in fact used as an administrative tool by the Canadian government for controlling Indigenous engagement in the governmental decision-making process regarding resource development projects that can adversely affect Indigenous resource rights and titles. These consultations are formalistic and do not give Indigenous peoples a real role in evaluating the justification for and safety of natural resource extraction affecting them. Although the United Nations Declaration on the Rights of Indigenous Peoples calls for national governments to conduct Indigenous consultations through the institutions of the Indigenous representative authority, a government agency typically leads and conducts Indigenous consultations through close collaboration with an industry proponent. The paper examines the Indigenous consultations for the Trans-Mountain Pipeline Expansion Project (2018–2019) as an example of agency-led consultations where Indigenous communities were invited to participate but were unable to influence either the agenda or the outcomes of the consultations. As a result of the Native communities’ appeals to the Supreme Court, the Indigenous consultations over the Trans Mountain Pipeline Expansion project were overturned. The Court directed the government to redo them but still was reluctant to recognize that the government had not satisfied the Indigenous communities’ requests but instead had rushed through the consultation procedure for approval of the project. It was obvious that the Court was powerless to protect the natural resource rights of Indigenous peoples when the extraction project is a governmental project.

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)0.007
metaresearch head score (Gemma)0.024
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: Empirical
Teacher disagreement score0.218
Threshold uncertainty score0.907

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0470.019
Scholarly communication0.0120.002
Open science0.0030.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.233
Teacher spread0.223 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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