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Record W7112188106

Kwayeskastasowin ᒃᐗᔦᔅᑲᔅᑕᓱᐎᓐ (Setting Things Right): Cree Pathways to Modernizing Treaty 9

2025· other· en· W7112188106 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyIndigenousIndigenous rightsSovereigntyCorporate governanceAccountabilityCLARITYJurisprudence
DOInot available

Abstract

fetched live from OpenAlex

Treaty 9 stands at a decisive crossroads where intensifying extraction pressures, notably Ontario’s Ring of Fire, collide with unresolved Indigenous sovereignty and governance. While signatories understood the treaty as a covenant of coexistence and shared stewardship, Canada imposed a land-surrender narrative, entrenching jurisdictional ambiguity, ecological degradation, and Indian Act dependency. This thesis advances a decolonial framework for treaty renewal by bridging Indigenous legal traditions, wahkohtowin, kaapimaacihkaawaatisiwin, and minopimaatisiiwin, with Canadian constitutional jurisprudence, legal pluralism, UNDRIP and FPIC standards, and comparative governance models. Its original contribution is the Treaty Modernization Toolkit, the first to operationalize Indigenous law into governance innovation through jurisdictional clarity tables, enforceable FPIC protocols, co-governance institutions, and accountability mechanisms. Combining Indigenous methodologies, relational accountability, and comparative analysis, this research contributes to critical political science, constitutionalism, and global Indigenous governance debates, equipping Treaty 9 rights holders with transformative pathways to reclaim inherent rights, protect lands, and sustain intergenerational nationhood.

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.727
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.015
Scholarly communication0.0110.008
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0220.002

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 head0.010
GPT teacher head0.160
Teacher spread0.150 · 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 designNot applicable
Domainnot available
GenreOther

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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