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Record W2168330571 · doi:10.2190/rwa1-c3pb-0ky4-hbut

Achievements and Challenges of Medicare in Canada: Are We There Yet? Are We on Course?

2005· article· en· W2168330571 on OpenAlexafffundabout
Stephen Birch, Amiram Gafni

Bibliographic record

VenueInternational Journal of Health Services · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsMcMaster University
FundersCanadian Institute for Advanced Research
KeywordsHealth careLiberian dollarLegislationBusinessPopulationPublic healthHealth policyScope (computer science)Health care reformUser feePublic economicsPublic administrationEconomic growthMedicinePolitical scienceEconomicsNursingEnvironmental healthFinance

Abstract

fetched live from OpenAlex

Health care policy in Canada is based on providing public funding for medically necessary physician and hospital-based services free at the point of delivery ("first-dollar public funding"). Studies consistently show that the introduction of public funding to support the provision of health care services free at the point of delivery is associated with increases in the proportionate share of services used by the poor and in population distributions of services that are independent of income. Claims about the success of Canada's health care policy tend to be based on these findings, without reference to medical necessity. This article adopts a needs-based perspective to reviewing the distribution of health care services. Despite the removal of user prices, significant barriers remain to services being distributed in accordance with need-the objective of needs-based access to services remains elusive. The increased fiscal pressures imposed on health care in the 1990s, together with the failure of health care policy to encompass the changing nature of health care delivery, seem to represent further departures from policy objectives. In addition, there is evidence of increasing public dissatisfaction with the performance of the system. A return to modest increases in public funding in the new millennium has not been sufficient to arrest these trends. Widespread support for first-dollar public funding needs to be accompanied by greater attention to the scope of the legislation and the adoption of a needs-based focus among health care policymakers.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.648
Threshold uncertainty score0.680

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 head0.075
GPT teacher head0.315
Teacher spread0.241 · 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 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

Citations25
Published2005
Admission routes3
Has abstractyes

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