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Record W4406605326 · doi:10.1080/17441692.2025.2452195

Parallel systems in healthcare: Addressing Indigenous health equity in Canada

2025· article· en· W4406605326 on OpenAlexaffabout
Anika Sehgal, Andrea Kennedy, Katharine McGowan, Lynden Crowshoe

Bibliographic record

VenueGlobal Public Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsMount Royal UniversityUniversity of Calgary
Fundersnot available
KeywordsIndigenousHealth equityHealth careEquity (law)Healthcare systemEconomic growthPolitical scienceMedicineEconomics

Abstract

fetched live from OpenAlex

The Canadian public healthcare system faces significant challenges in performance. While the formal healthcare system addresses funding, access and policy, there is a critical need to prioritise the informal system of community-oriented networks. This integration aligns with the World Health Organization's primary health care approach, emphasising a whole-of-society strategy for health equity. Canada's healthcare, harmonised through the Canada Health Act of 1984, focuses on need over ability to pay. Despite successes, the system struggles with social determinants of health and widening health inequities, especially among Indigenous peoples. Historical policies of forced assimilation have led to poor health outcomes and lower life expectancies for Indigenous populations. The Truth and Reconciliation Commission's Calls to Action stress removing barriers at multiple levels to improve Indigenous health. Indigenous perspectives on health, emphasising holistic wellness, contrast with Western healthcare's acute-illness focus. The emergence of parallel systems, informal networks within healthcare, reflects dissatisfaction with traditional approaches. Recognising the parallel system within Indigenous health, as proposed, can transform healthcare to better meet population needs. Systems mapping of Indigenous PHC in Alberta revealed numerous entities providing healthcare access, highlighting the importance of adequately funding and integrating these parallel systems to advance health equity.

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)0.008
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.839
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0050.000
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 head0.068
GPT teacher head0.398
Teacher spread0.330 · 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

Citations6
Published2025
Admission routes2
Has abstractyes

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