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Record W7141774451

To what extent does the United Nations facilitate self-determination and Indigenous rights to participate in decision making?

2025· dissertation· en· W7141774451 on OpenAlexaboutno aff
Cathryn Eatock

Bibliographic record

VenueThe Sydney eScholarship Repository (The University of Sydney) · 2025
Typedissertation
Languageen
FieldSocial Sciences
TopicIndigenous Peoples' Rights and Law
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousRedressHuman rightsIndigenous rightsDeclarationInternational human rights lawTransformative learningLinguistic rights
DOInot available

Abstract

fetched live from OpenAlex

The United Nations has witnessed an increasing level of recognition of Indigenous rights since the adoption of the Declaration in 2007. This thesis examines the extend to which the United Nations facilitates the recognition of Indigenous rights to self-determination in this emerging area of international law and assesses its impact domestically within settler-states. Specifically, it assesses the capacity for Indigenous advocacy at the United Nations to influence colonial-settler states’ recognition of Indigenous rights to self-determination, as asserted in the Declaration on the Rights of Indigenous Peoples and seeks to identify means to increase its efficacy. The study draws a comparative analysis from four settler-states, Canada, the United States of America, New Zealand and Bolivia, to highlight lessons that may inform the Australian context. The research aims to assess settler Governments’ responsiveness and capacity within the United Nations framework to better facilitate the recognition of self-determination and avenues for adjudication, reparation and redress for Indigenous Peoples. The thesis implements a Transformative Indigenous Rights Theory which privileges Indigenous voices and enacts a decolonizing intent. Methodologically, the thesis draws on interviews with Indigenous leaders involved in UN processes and an action-based praxis approach, which highlighted the correlation between local and global advocacy.

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)0.010
metaresearch head score (Gemma)0.016
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0070.008
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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Same venueThe Sydney eScholarship Repository (The University of Sydney)Same topicIndigenous Peoples' Rights and LawFrench-language works237,207