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Record W4409379310 · doi:10.1080/09581596.2025.2489466

Advancing culturally competent medical education: decolonizing approaches to Indigenous health as a human rights imperative

2025· article· en· W4409379310 on OpenAlexaff
Joseph LeBlanc, Frances Wesley, George Drazenovich, Paul Capon, Jacinta Oyella, Rachel Rainville

Bibliographic record

VenueCritical Public Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsFirst Nations Health and Social Secretariat of ManitobaNOSM University
Fundersnot available
KeywordsIndigenousHuman rightsPolitical scienceTraditional knowledgeSociologyEnvironmental ethicsEngineering ethicsEconomic growthLawEcology

Abstract

fetched live from OpenAlex

This paper advances decolonization within medical education, contextualized by the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP). We discuss, describe, and analyze the history of settler colonialism and its relevance for healthcare and education today. We analyze how Indigeneity is interpreted in an international context based on the United Nations Permanent Forum on Indigenous Issues. We situate the current health context in medical education based on data from global sources and the World Health Assembly’s advocacy for advancing Indigenous health equity internationally. As each university is responsible for engaging meaningfully with the First Nations upon whose traditional lands they occupy and using a case-based example of a university–tribal authority partnership, we describe models of culturally informed and community-driven medical education based on our experience. We conclude with promising directions grounded in international Indigenous human rights documents, such as the UNDRIP, and reconciliation efforts from national medical associations that can drive local practice in meaningful directions. We emphasize the need to continue to share experiences through international journals, conferences, and other venues; collaborate on research initiatives aimed at improving health outcomes for Indigenous peoples worldwide and locally; and promote culturally competent education.

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)0.004
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.896
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0070.001
Scholarly communication0.0000.000
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 head0.123
GPT teacher head0.454
Teacher spread0.331 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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