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Record W1561481616 · doi:10.24124/c677/2009190

A Cross-Provincial Comparison of Health Care Reform in Canada: Building Blocks and Some Preliminary Results

2009· article· en· W1561481616 on OpenAlexaffvenueabout
Harvey Lazar

Bibliographic record

VenueCanadian Political Science Review · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsContext (archaeology)Health carePeriod (music)Health care reformPublic administrationSample (material)Political scienceSociologyHealth policyLawHistory

Abstract

fetched live from OpenAlex

This special edition of the Review includes four papers that deal with health care reform in Canada in the 1990-2003 period. The papers are a small sample of some 30 case studies that have been prepared from an ongoing research project entitled Cross-Provincial Comparison of Health Care Reform in Canada (hereafter referred to as either the Cross-Provincial Project or the Project). Among other things, the 30 studies examine the nature and extent of health care reform that occurred during that period and the factors that help to explain why reform did, or did not, occur. The purpose of this introductory paper is three-fold: to provide the rationale and context for the Project; to describe the research methodology used; and to outline some preliminary results. In so doing, it is intended to provide some framework for the remainder of this special edition.

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)0.013
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.435

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.035
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0070.030
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.059
GPT teacher head0.346
Teacher spread0.288 · 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 designObservational
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

Citations17
Published2009
Admission routes3
Has abstractyes

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