“It is like stepping into another world”: Exploring the possibilities of using appreciative participatory action research to guide culture change work in community and long-term care
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
This paper highlights the possibilities for transformation that exist when a diverse group of participants interested in working together to change the culture of dementia care in long-term care and community care settings use appreciative participatory action research to guide their culture change efforts. These transformations happened throughout the culture change process using appreciative participatory action research. For instance, using appreciative participatory action research to guide the culture change process provided participants with the opportunity to build stronger professional and personal relationships in their respective care communities. Culture change transformations also stemmed from the appreciative participatory action research process, as participants recognized the importance of finding ways to include persons with dementia/residents in the process and they developed an appreciation for the valuable contributions persons with dementia/residents can make to culture change work. These culture chance possibilities demonstrate the value in using appreciative participatory action research to guide culture change in long-term care and community care contexts. These possibilities also illustrate the importance of paying closer attention to the culture change process itself, rather than solely the outcomes of the process, given that the possibilities for transformation that can take place throughout the process can help to build momentum, propelling culture change efforts forward in healthcare contexts.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.001 |
| 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