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Record W3123568669

Protecting Indigenous Peoples’ Lands: Making Room for the Application of Indigenous Peoples’ Laws within the Canadian Legal System

2007· article· en· W3123568669 on OpenAlex
Brenda L. Gunn

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueTSpace (University of Toronto) · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousIndigenous rightsLawJurisprudencePolitical scienceHuman rightsSociologyEcology
DOInot available

Abstract

fetched live from OpenAlex

This article uses James (Sákéj) Youngblood Henderson’s process to achieving a postcolonial legal consciousness as a methodology to gain greater recognition of Indigenous laws, which I argue will lead to better protection of Indigenous peoples’ lands, territories and resources. First, I show how the liberal basis of the Canadian legal rights paradigm, as currently applied, does not reflect Indigenous peoples’ own understandings of their rights and interests, and results in racist precedents that confine the power and authority of Indigenous peoples over their lands. Referring to other Indigenous scholars, I then discuss Indigenous peoples’ connections with their lands, some of the rights and obligations that stem from this connection, and some of the Indigenous legal principles that govern this relationship. Finally, I turn to international law to demonstrate the ways in which Indigenous peoples’ participation in the definition of their rights to their lands, territories and resources leads to different articulation of rights than is seen in Canadian Aboriginal title jurisprudence.

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.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.994

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 studies0.0070.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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