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Record W2162166540 · doi:10.12927/hcpap.2007.18995

Applying a Prism: The Spectrum of a Sustainable Healthcare System

2007· letter· en· W2162166540 on OpenAlexaffvenue
Catherine Zahn

Bibliographic record

VenueA Nudge Too Far? A Nudge at All? On Paying People to Be Healthy · 2007
Typeletter
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsOperationalizationHealth careBusinessContext (archaeology)Process managementPopulationMedicineOperations managementRisk analysis (engineering)NursingMedical emergencyEnvironmental healthEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Initiatives aimed at reducing wait times for surgical and diagnostic procedures and comprehensive chronic disease management programs focus, respectively, on the supply and demand aspects of access to healthcare. Addressing either in isolation can have a salutary health effect for segments of the population and produce system improvement. Approaching healthcare access issues even more broadly, in the context of population health and with a patient-centred perspective, carries the promise of sustainability, the potential for superior health outcomes across a continuum of patient care and the possibility of enhanced system competency through true integration of multiple sectors. A model for comprehensive access to health services includes a plan for a network of primary care providers, appropriate capacity and flow efficiency for the provision of unplanned (emergency) services, operationalization of wait times initiatives to sustain planned services (most surgeries and diagnostic procedures) and a strategy for decreasing demand for care by engaging primary and community care capabilities and a robust chronic disease management strategy.

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)0.013
metaresearch head score (Gemma)0.033
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 score0.051
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.033
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0090.018
Scholarly communication0.0090.017
Open science0.0030.011
Research integrity0.0510.059
Insufficient payload (model declined to judge)0.0080.003

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 head0.065
GPT teacher head0.383
Teacher spread0.318 · 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

Citations1
Published2007
Admission routes2
Has abstractyes

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