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Record W2087734336 · doi:10.1080/19371910802162280

Examining Fiscal Federalism, Regionalization and Community-Based Initiatives in Canada's Health Care Delivery System

2008· article· en· W2087734336 on OpenAlexaffabout
Pierre-Gerlier Forest, Howard A. Palley

Bibliographic record

VenueSocial Work in Public Health · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsPierre Elliott Trudeau Foundation
Fundersnot available
KeywordsFederalismContext (archaeology)Government (linguistics)Fiscal federalismHealth carePoliticsPublic administrationPrivate sectorRevenueEconomic growthPolitical sciencePublic economicsBusinessDecentralizationEconomicsGeographyFinance

Abstract

fetched live from OpenAlex

This study focuses on the ability of Canadian provinces to shape in different ways the development of various provincial health delivery systems within the constraints of the mandates of the federal Canada Health Act of 1984 and the fiscal revenues that the provinces receive if they comply with these mandates. In so doing, it will examine the operation of Canadian federalism with respect to various provincial health systems. This study applies a comparative analysis framework developed by Heisler and Peters to facilitate an understanding of the dimensionality of provincial health delivery systems as applied to the case of provincial regionalization and community-based initiatives. The three sets of relationships touched upon are: first, the levels of government and the nature of their involvement in public policy concerning the provincial health care delivery systems; and secondly, understanding of the factors influencing provincial governments' political dispositions to act in various directions. A third dimension that is taken are the factors influencing the "timing" of particular decisions. A fourth area noted by Heisler and Peters and other comparative analysts is the nature and characteristics of public and private sector activities in health care and other social policy areas. While the evolving nature of public and private sector health care delivery activities within Canada's provincial and territorial systems is a significant policy matter in the Canadian context, due to the space limitations of this article, they are not discussed herein.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0050.000
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 head0.137
GPT teacher head0.332
Teacher spread0.195 · 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.

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

Citations2
Published2008
Admission routes2
Has abstractyes

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