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Record W2938131741 · doi:10.1111/anti.12537

“Our Journey, Our Choice, Our Future”: Huu‐ay‐aht First Nations’ Self‐Government enacted through the Maa‐nulth Treaty with British Columbia and Canada

2019· article· en· W2938131741 on OpenAlexafffundabout
Vanessa Sloan Morgan, Heather Castleden

Bibliographic record

VenueAntipode · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsAssembly of First NationsQueen's UniversityUniversity of Northern British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTreatyColonialismIndigenousGovernment (linguistics)State (computer science)LawTreaty of WaitangiPolitical scienceSociologyBiology

Abstract

fetched live from OpenAlex

Abstract In 2011, Huu‐ay‐aht First Nations became one of five Nuu‐chah‐nulth Nations on the west coast of Vancouver Island in Canada to implement the Maa‐nulth Treaty with the Province of British Columbia and Canada. Modern treaties are dense and lengthy legal documents that exhaustively set out the obligations of each signatory party. They are heavily criticised for being unjust extensions of colonialism that limit Indigenous self‐determination and transform homelands under settler colonial property regimes. Yet, some First Nations accept these agreements as their chosen path for self‐government in state structures. We document Huu‐ay‐aht First Nations’ decision‐making that resulted when the Maa‐nulth Treaty was implemented and replaced the Indian Act by analysing the Maa‐nulth Treaty and interviews conducted with Huu‐ay‐aht First Nations leadership. We demonstrate how ʔiisaak (respect) and ʔuuʔałuk (taking care of) guided Huu‐ay‐aht First Nations’ self‐government, while nesting this discussion in the complexities and critiques of modern treaties.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0080.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.246
Teacher spread0.239 · 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

Citations5
Published2019
Admission routes3
Has abstractyes

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