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Record W2152680694 · doi:10.3138/cbmh.26.2.353

After Medicare: Regionalization and Canadian Health Care Reform

2009· article· en· W2152680694 on OpenAlexvenueaboutno aff
Terry Boychuk

Bibliographic record

VenueCanadian Journal of Health History · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHealth carePolitical scienceGovernment (linguistics)AccountabilityPublic administrationAdministration (probate law)Health policyEconomic growthHealth care reformHealth reformHealth servicesInternational healthMedicineEconomicsEnvironmental healthPopulationLaw

Abstract

fetched live from OpenAlex

In the immediate postwar era the primary object of health reform among the advanced industrial democracies was to expand, if not universalize, access to a broad spectrum of health services through sustained, high levels of government-mandated spending. The fiscal crises of the 1970s and 1980s ushered in a new generation of policies devoted to balancing the imperatives of guaranteeing access to basic health and social services and to improving the accountability, efficiency, and effectiveness of health care industries. In Canada, the regionalization of health care administration emerged as the most prominent strategy for grappling with the contradictions and paradoxes of contemporary health reform. This essay traces the historical evolution of federal-provincial deliberations that elevated regionalization to the forefront of health policy-making in the new era of fiscal restraint, and further, assesses recent efforts to institutionalize regional health authorities.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.804
Threshold uncertainty score0.933

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0160.016
Scholarly communication0.0080.003
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.289
Teacher spread0.266 · 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 designQualitative
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

Citations4
Published2009
Admission routes2
Has abstractyes

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