The evolution of integrated chronic disease prevention in Alberta, Canada.
Bibliographic record
Abstract
BACKGROUND: Recognition of the common risk factors for leading chronic diseases in Canada has contributed to the development of integrated chronic disease prevention and health promotion approaches. The Alberta Heart Health Project studied the capacity of health organizations in Alberta, Canada, to engage in heart health promotion. This article describes how the Alberta Heart Health Project acted on emerging research findings describing the preliminary stages of integrated chronic disease prevention in Alberta to provide leadership to encourage provincial chronic disease prevention efforts. CONTEXT: Political support for integrated chronic disease prevention was evident at the provincial and federal levels in Canada. As a result of organizational restructuring, loss of key health promotion champions, and decreased funding allocations, Alberta's regional health authorities sought increased efficiency in their chronic disease prevention efforts. METHODS: Descriptive data were derived from a brief questionnaire on regional health authorities' chronic disease prevention priorities and activities, an inventory of regional health authority health promotion programs and services, content analysis of key regional health authority documents, and focus groups with regional health authority staff, management, and policymakers. CONSEQUENCES: In 2002, the Alberta Heart Health Project data revealed that many regional health authorities were beginning to engage in integrated chronic disease prevention. However, little collaboration occurred across the health organizations; provincial leadership to facilitate collaboration and networking for integrated chronic disease prevention was needed. INTERPRETATION: Results supported the growing momentum for provincial leadership to enhance collaboration for integrated chronic disease prevention, which contributed to the development of the Alberta Healthy Living Network. The government's assistance is also needed to support the intersectoral collaborations essential for integrated chronic disease prevention.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".