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A recente reforma dos serviços de saúde na província do Québec, Canadá: as fronteiras da preservação de um sistema público

2000· article· pt· W2120777945 on OpenAlexaboutno aff
Eleonor Minho Conill

Bibliographic record

VenueCadernos de Saúde Pública · 2000
Typearticle
Languagept
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper analyzes recent changes in the Canadian health system through a case study of Quebec. As the last Province to adopt federal principles of universal coverage, comprehensiveness, and public management, its reform, conducted in 1971, met these objectives by means of key innovations. In the 1980s and early 90s, a process of health services evaluation in this Province and in Canada as a whole launched a period of extensive changes. The relevant measures are described herein: decentralization and regional management, "clinical shift", selective reduction in the supply of services, and new mechanisms for resource allocation and social control. There is a tendency towards an environment of public competition, but the approach that was adopted for regulation does not correspond to the main models from central countries. Within a scenario of budget constraints, technocratically-defined measures allowed for the settlement of benefits, preserving the system's main guidelines. This evidence is one of the main contributions of comparative analysis to health system reform in peripheral countries. The study identifies the relationships between these measures and a worldwide trend towards cost control and macroeconomic adjustment policies, discussing the relevant implications for health services.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.850
Threshold uncertainty score0.986

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0070.006
Scholarly communication0.0050.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.307
Teacher spread0.272 · 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

Citations11
Published2000
Admission routes1
Has abstractyes

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