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Contracting for Indigenous Health Care: Towards Mutual Accountability

2011· article· en· W1555130635 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAustralian Journal of Public Administration · 2011
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCommunity Development and Social Impact
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsAccountabilityCLARITYAllianceIndigenousGovernment (linguistics)BusinessPublic administrationUnintended consequencesHealth sectorHealth careEconomic growthPublic economicsHealth servicesPolitical scienceEconomicsMedicineEnvironmental health

Abstract

fetched live from OpenAlex

In Australia and other industrialised countries, governments contract with the non‐government sector for the provision of primary health care to indigenous peoples. Australian governments have developed policies and funding programs to support this health sector, but the current arrangements are unduly complex and fragmented. The results of our study show that the complex contractual environment for Aboriginal Community‐Controlled Health Services (ACCHSs) and their funders is an unintended but inevitable result of a quasi‐classical approach to contracts applied by multiple funders. The analysis in this article highlights potential policy and program changes that could improve the effectiveness of funding and accountability arrangements, based on the use of an alliance contracting model, better performance indicators and greater clarity in the relative roles of national and jurisdictional governments.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.218
GPT teacher head0.351
Teacher spread0.133 · 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