Capacity for Community Development: An Approach to Conceptualization and Measurement
Bibliographic record
Abstract
Abstract The concept of "capacity" has generated substantial interest among community development practitioners and scholars. This article describes our efforts to understand and measure health promotion capacity in Saskatchewan, and encourages readers to think about the usefulness of this concept in other community development contexts. We conceptualize capacity as a set of knowledge, skills, commitments, and resources required by individuals and organizations to effectively plan, implement, and evaluate health promotion activities. We initially operationalized and measured capacity through survey instruments designed to elicit responses from health promotion practitioners and leaders of regional health care organizations. After the initial administration of these two surveys, and following additional qualitative consultations with respondents to the surveys, we developed "capacity checklists" as practical tools to help practitioners and leaders assess their individual and organizational capacity for health promotion work. The ability to better understand and measure capacity enables community developers to more effectively pursue continuing education and organizational development efforts.
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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 | 0.020 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.028 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| 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".