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Record W2969334926 · doi:10.22329/cjpp.v3i1.8173

Decolonization: Resolving the Crisis in Indigenous Peoples’ Health Care

2023· article· en· W2969334926 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian Journal of Practical Philosophy · 2023
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsIndigenousDecolonizationPolitical scienceHealth careEconomic growthDevelopment economicsEconomicsLawPolitics

Abstract

fetched live from OpenAlex

When colonialism is invisible to the colonizer/settler, that one inevitably misdiagnoses the so-called “Aboriginal problem”. So, unsurprisingly, any proposed solution fails. Problems resulting from colonialism, including the health crisis in Indigenous communities, are so visible Canada cannot deny seeing them. Yet, the voices of Indigenous leaders, community workers, and scholars insisting Canada address colonialism to solve the problems fall on deaf ears. This paper argues that the justice requirement to address colonialism is not simply based in an Indigenous moral and legal perspective. Canada’s justice foundation is provided by liberal theory, and liberalism supports Indigenous solutions. Colonialism has made Indigenous communities unwell. Past assimilation and present reconciliation approaches to “curing” Indigenous communities fail because they ignore colonialism. Arthur Manuel and I demonstrate that only decolonization can heal Indigenous communities. Since the unjust relationship between Indigenous peoples and Canada’s has always been the source of the problems, a just relationship alone can fix them.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.717
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.348
Teacher spread0.310 · 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