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Record W4412107256 · doi:10.1080/13698230.2025.2528391

Territorial rights, domination, and Indigenous-state treaty negotiations

2025· article· en· W4412107256 on OpenAlexaffabout
Michael Luoma

Bibliographic record

VenueCritical Review of International Social and Political Philosophy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsTreatyIndigenousNegotiationState (computer science)Political scienceIndigenous rightsLaw and economicsLawSociologyHuman rightsPolitical economy

Abstract

fetched live from OpenAlex

Theories of territorial rights centering the self-determination of peoples argue that negotiated agreements are necessary to construct legitimate political institutions in cases marred by settler-colonial wrongdoing. Considering the Canadian treaty process, this paper argues that relations of power in political negotiations between Indigenous and settler peoples are often objectionably asymmetrical, providing for outsized settler political power over the terms of inter-group agreements. By avoiding consideration of the political and legal institutions giving rise to inter-group domination, contemporary theories of territorial rights have not yet provided an adequate account of the conditions necessary for the construction of a legitimate political order. Theorists must do more work to illuminate the root causes of asymmetrical power, and to specify the relevant standards for ‘sufficient symmetry’ of power and resources for treaty negotiations to result in legitimate institutions. Without doing so, our theories of territory are neither complete nor action-guiding, and risk being incoherent, implausible, or self-defeating.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.089
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.061
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.376
Teacher spread0.354 · 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 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
Published2025
Admission routes2
Has abstractyes

Explore more

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