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Record W2070546014 · doi:10.1071/ah050386

Slaves to economists? A Canadian's view of the Australian health care system

2005· article· en· W2070546014 on OpenAlexaffabout
Raisa Deber

Bibliographic record

VenueAustralian Health Review · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHealth careIdeologyHealth economicsCompetition (biology)PoliticsPublic healthPopulation healthGovernment (linguistics)SociologyPublic relationsMedicineLawPolitical sciencePublic administrationNursing

Abstract

fetched live from OpenAlex

AN EXPERT IS DEFINED as someone from out of town ? with slides. In health care, such experts also have a tendency to make cross-national comparisons on the basis of a short visit, a few conversations, and a desire to indicate ?lessons learned?.1 In that time-honoured tradition, on the basis of a visit to Melbourne to address the Victorian Healthcare Association, coupled with visits to several local hospitals, this Canadian identified several potential problems arising from Australia?s approach to the public?private mix of hospital services. As Keynes noted, ?The ideas of economists and political philosophers, both when they are right and when they are wrong, are more powerful than is commonly understood. Indeed the world is ruled by little else. Practical men, who believe themselves to be quite exempt from any intellectual influence, are usually the slaves of some defunct economist.?2 Over the past decades, many health care reformers have urged change ? with varying degrees of success ? based on a set of ideas that markets are always right, that competition is both necessary and sufficient for efficiency, and that private is superior to public. One consequence has been a push for a greater role for private delivery of health care services. This is currently hotly contested in Canada, with Australia providing either an exemplary example or a cautionary tale, depending upon ideological proclivities. I was therefore interested in learning more from Australians as to areas of success or failure of the public?private mix in Australia, and this paper highlights my observations.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.773
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.097
GPT teacher head0.342
Teacher spread0.245 · 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
GenreCommentary

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

Citations7
Published2005
Admission routes2
Has abstractyes

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