MétaCan
Menu
Back to cohort
Record W2158653383 · doi:10.1093/her/18.1.15

Dissemination of heart health promotion in the Ontario Public Health System: 1989-1999

2003· article· en· W2158653383 on OpenAlex
Barbara Riley

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHealth Education Research · 2003
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsMcMaster University
FundersHealth CanadaOntario Ministry of Health and Long-Term Care
KeywordsHealth promotionDisseminationPublic relationsPublic healthInformation DisseminationProcess (computing)Promotion (chess)Health policyBusinessHealth educationOrder (exchange)Political scienceMedicineNursingComputer science

Abstract

fetched live from OpenAlex

This paper reports the results of an analysis of the dissemination of community-based heart health promotion strategies. The research draws on diffusion and socio-ecological theories to study the first 10 years of heart health promotion in the public health system in Ontario, Canada. Using case description and interpretive analysis, the study describes developments in five stages of dissemination, and examines the interplay of factors operating in the internal organizational setting and the external environment in order to explain these developments. Findings demonstrate that dissemination of health promotion is a long-term, iterative process involving multiple stages. Dissemination is influenced by a complex interplay of factors operating within the public health system (especially traditional public health practice and champions) and factors in the environment in which the public health system operates (especially research, practice information and health policies). Implications are that policy makers should take a long-term view of dissemination, identify intermediate and long-term goals consistent with dissemination stages, and capitalize on internal and external forces supporting dissemination goals. Similar case-study research in other public health systems and time periods, and in more advanced stages of dissemination, will add further insight into the dissemination process.

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)0.053
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.682
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0530.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.432
GPT teacher head0.597
Teacher spread0.164 · 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