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Record W3183972239 · doi:10.1177/13540661211024713

Decolonizing Self-Determination: Haudenosaunee Passports and Negotiated Sovereignty

2021· article· en· W3183972239 on OpenAlexaff
Sheryl Lightfoot

Bibliographic record

VenueEuropean Journal of International Relations · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsSovereigntyIndigenousSelf-determinationPluralWestphalian sovereigntySociologyNegotiationArticulation (sociology)LawPolitical sciencePolitical economyLaw and economicsPolitics

Abstract

fetched live from OpenAlex

The United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) recognises both Indigenous peoples’ right to self-determination and simultaneously offers protections in regard to states’ right to sovereignty and territorial integrity vis-à-vis Indigenous peoples’ claims. Often, this is considered an internal inconsistency of the UNDRIP, and another common critique is that Indigenous peoples were only recognised as having a diminished right to self-determination, which is less than what everyone else enjoys. This article stands in contrast to these two lines of critique, arguing that the UNDRIP’s articulation of self-determination is potentially ushering in a broadening, and possible reshaping, of self-determination, which has been increasingly decoupled from singular Westphalian notions of ‘sovereignty’ and ‘territoriality’ in ways that require ongoing negotiation between peoples and states. This case study of the Haudenosaunee Confederacy’s issuance and use of their passports, based on original fieldwork including a set of qualitative interviews with key informants, demonstrates how the Haudenosaunee Confederacy is pushing the practice and understanding of self-determination in multiple, new directions to include plural sovereignties in deeply significant ways concerning International Relations in both theory and in practice.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.913
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.283
Teacher spread0.270 · 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 teacher head, not a consensus.

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".

Quick stats

Citations26
Published2021
Admission routes1
Has abstractyes

Explore more

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