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Record W1514795912 · doi:10.1111/capa.12083

The three dimensions of universal Medicare in <scp>C</scp>anada

2014· article· en· W1514795912 on OpenAlexaff
Gregory P. Marchildon

Bibliographic record

VenueCanadian Public Administration · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsUniversality (dynamical systems)Universal coverageDimension (graph theory)Norm (philosophy)Healthcare systemGovernment (linguistics)NarrativePolitical sciencePublic administrationHealth policyHealth careMathematicsLawPhysics

Abstract

fetched live from OpenAlex

Abstract The history of Canadian Medicare is reviewed to demonstrate the extent to which non‐universal alternatives almost became the norm in Canada. While this historical survey focuses on the most critical dimension of universal coverage – the drive to have all Canadians insured on the same terms and conditions – it also addresses the second and third dimensions of universality, the extent of user fees and the breadth of coverage, respectively. However, that there is no single national narrative on health coverage, in part because of the highly decentralized nature of the Canadian health system. Ultimately, public‐sector health system coverage is a policy decision taken at the sub‐national level by the provincial rather than the federal government.

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)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.010
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.003
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 head0.034
GPT teacher head0.234
Teacher spread0.200 · 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 designNot applicable
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

Citations21
Published2014
Admission routes1
Has abstractyes

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