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Record W4283269454 · doi:10.1177/03058298221084001

Shifting Authority: Indigenous Law-Making and State Governance

2022· article· en· W4283269454 on OpenAlexafffundabout
Leah Sarson

Bibliographic record

VenueMillennium Journal of International Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsIndigenousPolitical scienceIndigenous rightsState (computer science)LawPoliticsColonialismCorporate governanceSovereigntyContext (archaeology)GeographyManagement

Abstract

fetched live from OpenAlex

How can Indigenous law-making affect state authority? I examine this in the context of Canada's extractive sector, where I question how and when Indigenous laws prevail over state laws to challenge colonial authority and reassert Indigenous self-determination. Although the state claims supreme authority, Indigenous governments are enacting their own laws, laws that are sometimes in tension with those of the state. I demonstrate that while the state usually responds to contentious Indigenous law-making with conflict, under certain conditions Indigenous communities can incite the state to reverse its position to one of acquiescence or cooperation. By drawing on insights from three Indigenous communities in Canada, I offer four conditions under which Indigenous peoples and governments may be able to compel the state to relent and accrue authority, including by preparing to engage in a long-term project, by fomenting community cohesion, by exploiting evolving international norms related to Indigenous rights, and by offering viable governance alternatives to colonial legislation. By highlighting new sites of authority and resistance, this work underscores the transformative possibilities of Indigenous politics. Une autorité en évolution : pouvoir législatif autochtone et gouvernance publique.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.734
Threshold uncertainty score0.534

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.043
Scholarly communication0.0100.003
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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

Citations3
Published2022
Admission routes3
Has abstractyes

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Same venueMillennium Journal of International StudiesSame topicIndigenous Health, Education, and RightsFrench-language works237,207