Caught in the Web: Piloting a Methodology to Assess Community Capacity in a Rural Heart Health Project
Bibliographic record
Abstract
Abstract: As health promotion practitioners, we have been encouraged to implement strategies that embrace a community-building approach for strengthening community health. In this article, we present our experience in piloting a methodology to assess the extent to which community capacity was built in a rural heart health project. We defined community capacity as the degree to which a community (and its agency partners) can develop, implement, and sustain actions for strengthening community health. An assessment protocol that included a series of guiding questions and a ranking procedure to assess seven domains of community capacity was designed for focus group application. Following from this, community capacity webs, which visually depict the extent of capacity built through the heart project, were produced for each community. The methodology requires further refinement; however, through this process we were able to further our understanding of the effectiveness of this project in building community capacity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.053 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".