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Record W2163207431 · doi:10.3138/9781442681392-014

11. Strengthening the Foundations: Modernizing the Canada Health Act

2004· book-chapter· en· W2163207431 on OpenAlexaboutno aff
Colleen M. Flood, Sujit Choudhry

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2004
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

The Canada Health Act (CHA) has served Canadians extremely well since 1984. However, to continue to realize the values that lie behind the Act, some changes are needed. In this paper, we propose significant reforms to the CHA. The CHA should maintain the prohibitions on extra-billing and user charges. The CHA should be reformed to actively encourage innovation and evidence-based reform in the delivery of care. The criterion of non-profit public administration should be amended to “public governance and democratic accountability” to emphasize the importance of good governance and accountability of decision makers at all levels in Medicare. The federal government should monitor the growth of health care delivery by for-profit firms but acknowledge that the CHA does not presently preclude their participation, provided services are fully publicly funded. The CHA should require provinces to establish transparent and democratic processes to determine on an ongoing basis which services and goods should be publicly funded. The CHA should be amended to include a guarantee of timely access to meet Canadians’ concerns about waiting lists and times. A non-partisan and expert Medicare Commission should be jointly appointed by the federal and provincial governments to reward provinces that meet objective performance indicators or that undertake reform that the Commission has identified as worthwhile. A permanent dispute settlement machinery should be created to deal with disputes over the interpretation of the program criteria in the CHA. Separate legislation is required to provide for national standards for insuring prescription drugs and home care.

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)0.010
metaresearch head score (Gemma)0.022
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: Other · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score0.670

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0110.009
Scholarly communication0.0110.004
Open science0.0020.003
Research integrity0.0120.008
Insufficient payload (model declined to judge)0.0090.002

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 head0.066
GPT teacher head0.230
Teacher spread0.163 · 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
GenreOther

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
Published2004
Admission routes1
Has abstractyes

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Same venueUniversity of Toronto Press eBooksSame topicHealthcare Policy and ManagementFrench-language works237,207