Exploring the process of capacity-building among community-based health promotion workers in Alberta, Canada
Bibliographic record
Abstract
Community capacity-building is a central element to health promotion. While capacity-building features, domains and relationships to program sustainability have been well examined, information on the process of capacity-building as experienced by practitioners is needed. This study examined this process as experienced by coordinators working within a community-based chronic disease prevention project implemented in four communities in Alberta (Canada) from 2005-2010 using a case study approach with a mixed-method design. Data collection involved semi-structured interviews, a focus group and program documents tracking coordinator activity. Qualitative analysis followed the constant comparative method using open, axial and selective coding. Quantitative data were analyzed for frequency of major activity distribution. Capacity-building process involves distinct stages of networking, information exchange, partnering, prioritizing, planning/implementing and supporting/ sustaining. Stages are incremental though not always linear. Contextual factors exert a great influence on the process. Implications for research, practice and policy are discussed.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".