Participatory action research and photovoice in a psychiatric nursing/clubhouse collaboration exploring recovery narrative
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
Accessible summary Personal stories about recovery in mental health are important sources of knowledge. Research methods are needed for exploring personal stories of recovery which honour and empower the authors of recovery stories. The Clubhouse of Winnipeg and an assistant professor in psychiatric nursing piloted a research project using photography in order to explore, document and share Clubhouse Member stories of recovery. Abstract The Clubhouse of Winnipeg (a community psychosocial rehabilitation centre) collaborated with a psychiatric nursing assistant professor on a participatory action research (PAR) project exploring the concept of recovery using a using a research method called photovoice. The collaborative project – Our Photos Our Voices – demonstrates how PAR and photovoice are well suited for collaborative research in mental health which honours principles underlying consumer empowerment and recovery. The foundation of empowerment is the power to act on one's behalf; PAR and photovoice support the full participation of concerned individuals in all aspects of research with the ultimate goal of action to solve problems or to meet goals identified by those individuals. Empowerment is also the ability to lay claim to one's own truth. At the core of the recovery model is the principle that recovery is defined by the individual and based on individual determinations of meaningful goals and a meaningful life. The Our Photos Our Voices project uses PAR and photovoice to effectively access, explore, document and share personal, local knowledge about recovery grounded in the personal experience of the Clubhouse researchers.
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 | 0.010 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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