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Record W2124785601 · doi:10.2190/apru-d9hf-lr1m-6fgl

Reforming Ontario's Primary Health Care System: One Step Forward, Two Steps Back?

2001· review· en· W2124785601 on OpenAlexafffundabout
Carole Suschnigg

Bibliographic record

VenueInternational Journal of Health Services · 2001
Typereview
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsLaurentian University
FundersGovernment of Ontario
KeywordsGovernment (linguistics)Primary careCommunity healthEconomic growthPlan (archaeology)Public administrationPrimary health careHealth careState (computer science)Health planPolitical scienceMedicineFamily medicineEconomicsGeography

Abstract

fetched live from OpenAlex

In Ontario, one-third of the provincial budget is spent on treatment-oriented, institutionally based medical care. Urgently needed, some critics say, is a shift toward less costly, prevention-oriented, community-based care informed by a nonreductionist approach to health planning. In this regard, Community Health Centres (CHCs) have long been advocated as the most effective way to reform the province's primary health care system. At present, however, Ontario has only 56 CHCs. This article examines factors that gave rise to the implementation of CHCs during the 1970s, their slow growth across the province during the 1980s, and their relatively rapid expansion during the early 1990s. In 1995, the newly elected Progressive Conservative government decided to freeze funding for this innovative program. The author argues that the state's latest plan for "reforming" the province's primary health care system is destined to repeat the mistakes of the past.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.052
GPT teacher head0.413
Teacher spread0.361 · 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
GenreReview

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

Citations16
Published2001
Admission routes3
Has abstractyes

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