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Record W2093092838 · doi:10.1108/13660750010378616

Linking public health science and practice: an example from the Canadian Heart Health Initiative

2000· article· en· W2093092838 on OpenAlex
Roy Cameron, Rosemary Walker, Myrna Gough, Paul McDonald

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueLeadership in Health Services · 2000
Typearticle
Languageen
FieldMedicine
TopicHealth Promotion and Cardiovascular Prevention
Canadian institutionsMinistry of Health and Long Term CareUniversity of Waterloo
Fundersnot available
KeywordsPublic healthHealth informationMedicineEnvironmental healthQuality (philosophy)Public relationsCoronary heart diseasePopulationRisk factorBusinessPolitical scienceHealth careNursingPathologyCardiology

Abstract

fetched live from OpenAlex

Over 60 per cent of adults have at least one modifiable cardiovascular disease (CVD) risk factor. Community‐based initiatives are a central component of a population‐based CVD risk reduction strategy. Describes the development of an information system in which CHHIOP collected quantitative and qualitative information on heart health activities in communities, distilled the information, and then disseminated it to both local and provincial public health practitioners. The goal was to link science and practice tightly, so professionals received timely and relevant information in order to enhance continuously the quality of the public health programming.

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.

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)0.030
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.731
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.348
GPT teacher head0.406
Teacher spread0.058 · 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