Using Reflective Process in Community-based Participatory Action Research
Bibliographic record
Abstract
Using principles of transformational leadership, the management team of a Community Care Program (CCP) in British Columbia, Canada involved its staff, clients, and community agency personnel in a participatory action research process to evaluate the CCP's in-home nursing and physio/occupational programs. An iterative reflective process was initiated by the management team and expanded to include all stakeholders. We used a descriptive design with multiple analytic methods. CCP clients, agency personnel, and physicians were surveyed for their perceptions of whether CCP staff practised according to their core program values. Findings revealed minor discrepancies between the CCP's espoused values and those they practised with clients and agency personnel. An important outcome of this study was demonstrating the power and effectiveness of active participation by professional staff, consumers, and agency partners in all aspects of change within a traditional bureaucratic system.
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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 | 0.198 | 0.162 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".