Cultivating the power of partnerships in feminist participatory action research in women’s health
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
Feminist participatory action research integrates feminist theories and participatory action research methods, often with the explicit intention of building community-academic partnerships to create new forms of knowledge to inform women's health. Despite the current pro-partnership agenda in health research and policy settings, a lack of attention has been paid to how to cultivate effective partnerships given limited resources, competing agendas, and inherent power differences. Based on our 10+ years individually and collectively conducting women's health and feminist participatory action research, we suggest that it is imperative to intentionally develop power-with strategies in order to avoid replicating the power imbalances that such projects seek to redress. By drawing on examples from three of our recent feminist participatory action projects we reflect on some of the tensions and complexities of attempting to cultivate power-with research partnerships. We then offer skills and resources needed by academic researchers to effectively harness the collective resources, agendas, and knowledge that each partner brings to the table. We suggest that investing in the process of cultivating power-with research partnerships ultimately improves our collective ability to understand and address women's health issues.
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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 | 0.068 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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