Knowledge, capacity and readiness: translating successful experiences in community-based participatory research for health promotion
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.
Bibliographic record
Abstract
Capacity building is a guiding principle of community-based participatory research (CBPR). This paper explores the interrelationship between capacity building and the concepts of readiness and intercommunity knowledge translation. A five-year study examined two long-standing projects for the primary prevention of type 2 diabetes in Aboriginal communities, to translate the lessons learned from those experiences into capacity for diabetes prevention in a third Aboriginal community. Reviewing external factors with the PRECEDE-PROCEED model of health promotion reveals that readiness for change requires both intra- and extra-community enabling factors including expertise from other communities, national and international organizations, federal health service funding, available research and intervention funding, and availability of external partners. These resources do not address the community health issue directly, but rather build capacity, objective and environmental, for the community to address the issue itself. It was found that a community that is internally ready, and situated within an external enabling environment rich in appropriate resources, can translate the knowledge from other successful community experiences to develop the capacity to initiate community health promotion for diabetes prevention.
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 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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it