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Record W4410235691 · doi:10.26443/mjgh.v14i1.1571

Exploring Access to Universal Healthcare among Indigenous Peoples in Canada

2025· article· en· W4410235691 on OpenAlexaffabout
R Shirazi

Bibliographic record

VenueMcGill Journal of Global Health · 2025
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health Workforce Issues
Canadian institutionsMcGill University
Fundersnot available
KeywordsIndigenousHealth careUniversal designPolitical scienceEconomic growthGeographyComputer scienceWorld Wide WebEconomicsLawBiology

Abstract

fetched live from OpenAlex

Canada’s healthcare system is founded on universality, yet Indigenous Peoples face significant barriers to equitable care. This paper explores the challenges Indigenous communities encounter, including jurisdictional disputes, systemic racism, and inadequate healthcare infrastructure. It argues that achieving inclusivity requires moving beyond one-size-fits-all policies toward culturally responsive, community-driven solutions that uphold Indigenous rights and self-determination. Strategies discussed include cultural safety programs, better healthcare provider education, and increased Indigenous participation in decision-making. It calls for a collaborative approach involving all levels of government, especially Indigenous governments, to improve policy development, resource allocation, and service delivery. Legal reform and clearer accountability frameworks are essential to shifting power dynamics and ensuring equitable access to healthcare.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.105
GPT teacher head0.438
Teacher spread0.333 · 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 designObservational
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

Citations0
Published2025
Admission routes2
Has abstractyes

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