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Record W2114712646 · doi:10.3138/ijih.v1i1.28930

Governed by Contracts: The Development of Indigenous Primary Health Services in Canada, Australia and New Zealand

2004· article· en· W2114712646 on OpenAlexvenueaboutno aff
Josée G. Lavoie

Bibliographic record

VenueInternational Journal of Indigenous Health · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousGovernment (linguistics)Community healthHealth careBusinessEconomic growthPrimary carePrimary health carePublic administrationPolitical scienceMedicineEconomics

Abstract

fetched live from OpenAlex

This paper is concerned with the emergence of Indigenous primary health care organizations in Canada, Australia and New Zealand. In Canada, the adoption of the 1989 Health Transfer Policy promoted the transfer of on-reserve health services from the federal government to First Nations. In Australia, Aboriginal Community-Controlled Health Services first appeared in the 1970s because of community mobilization. It aims to provide some access to free health care to Aboriginal People. A more recent model, the Primary Health Care Access Program, aims at guaranteeing Aboriginal access to comprehensive primary health care services under the authority of Regional Aboriginal Health Boards. In New Zealand, Maori providers emerged because of the market-like conditions implemented in the 1990s. This study compares the policy and contractual environment put in place to support Indigenous health providers in Canada, Australia and New Zealand, using a case study approach. Results show that the contractual environment does not necessarily match declared policy objectives, especially where competitive models for accessing funding have been implemented.

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)0.006
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.817

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0120.005
Scholarly communication0.0040.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.348
Teacher spread0.313 · 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 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

Citations43
Published2004
Admission routes2
Has abstractyes

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