Reflecting on Participatory, Action‐Oriented Research Methods in Community Psychology: Progress, Problems, and Paths Forward
Bibliographic record
Abstract
This paper provides a critical reflection on participatory action research (PAR) methods as they pertain to community psychology. Following a brief review of the fundamental aspects of PAR, key developments in the field are examined. These developments include the redefinition of the research enterprise among groups such as Indigenous and consumer/survivor communities, challenges that attend the "project" framing of PAR, academic and practice context challenges, and important domains in which PAR methods need to become more engaged (e.g., social media and disenfranchised youth). Three illustrative case studies of programs of work in the areas of youth homelessness, consumer/survivor engagement, and Indigenous research are provided to illustrate these contemporary challenges and opportunities in the field. The authors make the argument that without an effort to reconsider and redefine PAR, moving away from the stereotypical PAR "project" frame, these methods will continue to be poorly represented and underutilized in community psychology.
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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 | 0.529 | 0.336 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.024 | 0.126 |
| Scholarly communication | 0.040 | 0.045 |
| Open science | 0.010 | 0.027 |
| Research integrity | 0.014 | 0.021 |
| Insufficient payload (model declined to judge) | 0.004 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".