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Record W2125814933 · doi:10.12927/hcpap.2008.19707

Primary Healthcare Renewal in Canada: A Glass Half Empty?

2008· letter· en· W2125814933 on OpenAlexvenueaboutno aff
Mary van Soeren, Christina Hurlock‐Chorostecki, Pamela Pogue, Jane Sanders

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2008
Typeletter
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careIncentivePrimary careGovernment (linguistics)BusinessHealthcare deliveryPrimary health carePublic relationsPublic sectorPublic healthcareHealthcare policyHealthcare systemNursingMedicineHealth policyPolitical scienceHealth care reformEconomic growthFamily medicineEconomics

Abstract

fetched live from OpenAlex

Primary healthcare renewal was an important government initiative arising in the early 21st century. This sector of the healthcare system in Canada had been under-resourced and ignored for decades. Recent changes include the development of salaried models for physician care, the use of other professionals in primary care, the integration of inter-professional teams, funding for information management systems and some incentives to provide directed primary care services. However, these changes are limited by a lack of overall policy direction to drive innovation, the absence of a shift in the locus of control of healthcare, a lack of education for healthcare providers to support inter-professional team-based practices and a failure to be more accountable to the Canadian public's needs. Without these innovations, the primary healthcare system will again be overwhelmed by future healthcare needs. Based on these limitations, we question whether this renewal represents lasting change in primary healthcare or a band-aid solution to the continued issue of primary healthcare delivery.

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)0.012
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.925
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0200.007
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0260.020
Insufficient payload (model declined to judge)0.0080.001

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 head0.086
GPT teacher head0.360
Teacher spread0.275 · 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
GenreCommentary

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

Citations6
Published2008
Admission routes2
Has abstractyes

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