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Record W2913870849 · doi:10.1080/22423982.2019.1577093

Improving access to Indigenous medicine for patients in hospital-based settings: a challenge for health systems in northern Canada

2019· article· en· W2913870849 on OpenAlexaffabout
Nicole Redvers, Justina Marianayagam, Be’sha Blondin

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsInstitute for Circumpolar Health Research
Fundersnot available
KeywordsIndigenousCircumpolar starTraditional knowledgeHealthcare systemHealth carePopulationGeographyMedicinePolitical scienceEconomic growthEnvironmental healthLawEcology

Abstract

fetched live from OpenAlex

In this commentary, we argue that Indigenous patients in the Northwest Territories (NWT) have a right to access traditional medicine and related practitioners as a part of the continuum of medical care. Indigenous people make up over half of the NWT population, spread over vast geographic areas with representation from First Nations, Inuit and Métis (FNIM) people. Ensuring barrier-free access to traditional medicine and providers in a culturally respectful environment is a challenge that requires structural transformation in the territorial health system. The ongoing transmission of knowledge about Indigenous traditional medicine in Northern Canada and the collective survival of Northern peoples is a testament to the applicability of traditional medicines in a self-determined wellness system. Through a discussion of the barriers to policy development and implementation, this commentary aims to elevate Indigenous perspectives and offer recommendations for integrating traditional medicines into Northern health systems.

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)0.007
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.894
Threshold uncertainty score0.769

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0250.017
Scholarly communication0.0090.003
Open science0.0030.004
Research integrity0.0090.015
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.333
Teacher spread0.321 · 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 designQualitative
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

Citations35
Published2019
Admission routes2
Has abstractyes

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