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Record W4362669535 · doi:10.1177/0067205x231165872

Commonwealth Power to Improve Access, Quality, and Efficiency of Medical Care: Does section 51 (xxiiiA) of the <i>Constitution</i> Limit Politically Feasible Health Policy Options Today?

2023· article· en· W4362669535 on OpenAlexaff
Fiona McDonald, Stephen Duckett, Emma Campbell

Bibliographic record

VenueFederal Law Review · 2023
Typearticle
Languageen
FieldHealth Professions
TopicHealth Services Management and Policy
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCommonwealthConstitutionLawHealth carePoliticsHealth policyHigh CourtPublic administrationEconomicsPolitical scienceSociology

Abstract

fetched live from OpenAlex

Abstract Legal and political battles about health policy in the immediate post-war years have cast a long shadow in Australia. The ‘civil conscription’ sub-provision in s 51(xxiiiA) (health and welfare power) of the Australian Constitution is still cited as a major barrier to developing health policy. But long after the High Court moved on from a very restrictive interpretation of Commonwealth powers, policymakers appear to be cautious about testing whether the Commonwealth has power to make laws about medical services to pursue a bold agenda about access, quality, and efficiency of medical care. In this article we will first describe the origin and phrasing of s 51(xxiiiA), the main head of power, then trace the development of the interpretation of the civil conscription sub-provision, and finally discuss whether politically realistic policy options are likely to founder on the shoals of High Court interpretation. We argue that the civil conscription limitation in s 51 (xxiiiA) in the Constitution looms larger as a policy constraint on regulation of health care by the Commonwealth government in the minds of decision-makers, and as a weapon in the hands of stakeholders, than contemporary analysis of it warrants.

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)0.030
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.073
Threshold uncertainty score0.160

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.033
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.019
Scholarly communication0.0120.004
Open science0.0020.003
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.103
GPT teacher head0.515
Teacher spread0.412 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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