Collaboration for Improving Social Work Practice: The Promise of Feminist Participatory Action Research
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 research and participatory action research (PAR) share the belief that research should directly serve social justice aims and work to alleviate suffering of marginalized and oppressed people. This article presents the results of a unique feminist PAR (FPAR) approach to designing and implementing an evaluation of an intervention with women who have used violence. The site of our analysis is the steering committee that oversaw this work and the extent to which members adhered to FPAR principles. Over the two decades since feminist critiques of PAR began to emerge, new discourses of collaboration have appeared. As researchers, we must be alert to FPAR discourses that mask ongoing hierarchies. Our findings suggest that, while reflexivity and genuine commitment to collaboration are fundamental to enacting FPAR principles, social workers nevertheless face real challenges confronting structural barriers that impede anti-oppression goals. This study highlights the challenges of adhering faithfully to feminist participatory principles in real-life settings and the need for future research to examine the effectiveness of FPAR processes in achieving authentic collaboration among committee members who are chosen to represent disparate perspectives and are backed by vastly different levels of social and institutional power.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.014 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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