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Record W2161591070 · doi:10.1017/s1744133110000046

Is Canada odd? A comparison of European and Canadian approaches to choice and regulation of the public/private divide in health care

2010· article· en· W2161591070 on OpenAlexaffabout
Colleen M. Flood, Amanda Haugan

Bibliographic record

VenueHealth Economics Policy and Law · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsInstitute of Health Services and Policy ResearchUniversity of TorontoUniversity of Ottawa
Fundersnot available
KeywordsArgument (complex analysis)Context (archaeology)Health carePublic economicsPrivate sectorSupreme courtPolitical scienceEconomicsLawMedicineGeography

Abstract

fetched live from OpenAlex

Choice is often touted as a means for change within health care systems. Yet 'choice', in this context, takes at least three distinct forms: choice between providers within a publicly funded health care system; choice between competing insurers within a universal plan; and, lastly, choice as between privately financed health care and universal public coverage. In Canada, it is this last form of choice that is under active debate; particularly in light of the Supreme Court of Canada's decision in Chaoulli, which found a regulation banning private health insurance for medically necessary care was unconstitutional. The argument is frequently made that Canada is an outlier from other countries in having regulation that effectively precludes this kind of choice. This issue is likely to become of concern again in upcoming constitutional challenges where applicants are looking to overturn through judicial challenges Canada's medicare system. This article tests that argument of whether Canada truly is 'odd' from a comparative policy perspective by exploring regulation of choice of privately financed health care in several European countries - the Netherlands, Germany, Sweden, England and France. We highlight commonalities as well as differences, showing the extent to which these countries employ regulation to fetter growth of a large privately financed sector. The article's thesis is that Canada, in employing more intrusive forms of regulation, is not an outlier per se but at one point in a regulatory spectrum.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.128
GPT teacher head0.286
Teacher spread0.159 · 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.

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

Citations2
Published2010
Admission routes2
Has abstractyes

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