The Newfoundland and Labrador Heart Health Program dissemination story: the formation and functioning of effective coalitions.
Bibliographic record
Abstract
Newfoundland and Labrador is the most easterly province of Canada (O'Loughlin et al., Figure 1) with a population of 537,000. Rural in nature, 50% of the population resides in widely-dispersed communities of less than 2500 people. The economy traditionally relied on the fishing industry, but with the closure of the once lucrative cod fishery in 1991, the poorest province in Canada faced a difficult economic climate with up to 20% unemployment rates. With little funding available to supplement or sustain expensive initiatives, the Demonstration Phase of the Newfoundland and Labrador Heart Health Program (1990-1996) focused on how community-based programs are developed and sustained, with a view to diffusion throughout the province. The whole province was defined as the demonstration site for the project, and a community mobilization strategy was used with extensive reliance on community health professionals and volunteer contributions.
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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 | 0.046 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.016 |
| Scholarly communication | 0.017 | 0.012 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
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".