Problematic Success: An Account of Top-Down Participatory Action Research with Women with Multiple Sclerosis
Bibliographic record
Abstract
This article focuses on the problems encountered while conducting participatory action research (PAR) with women with multiple sclerosis (MS). The term top-down means that the target population was defined and the research design was generated by a research team composed of academics and social services management rather than a grassroots group composed of women with MS. Overall, the research was a success; however, in the authors' experience, top-down–initiated PAR resulted in a number of problems including problematic assumptions, ambiguous relationships, and conflict. Inherent in top-down PAR designs are structural imbalances between professionals and nonprofessionals that are antithetical to the emancipatory philosophy and goals of PAR, imbalances that persist despite a researcher's commitment to PAR philosophy.
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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 | 0.147 | 0.095 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.049 | 0.137 |
| Scholarly communication | 0.039 | 0.030 |
| Open science | 0.009 | 0.047 |
| Research integrity | 0.012 | 0.014 |
| 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".