Implicit Narratives in Participatory Arts Collaborations with People with Lived Experience of Dementia
Bibliographic record
Abstract
Over the past decade, participatory arts programs for people with lived experience of dementia have expanded in scale, number, and approach, both in North America and the United Kingdom. This narrative analysis considers how participatory arts programs and practices generate implicit narratives about what it means to live with dementia and about the value and meaning of arts and creativity to human experience. Using as examples several large-scale, multiyear, community-engaged, co-creative projects, I argue that these projects and others like them (a) shift cultural imaginaries of dementia through implicit narratives that construct lived experience as a legitimate form of knowledge, (b) uphold creativity as a universal quality, and (c) reimagine health and well-being discourses to include understandings of well-being that include ill-being. The projects construct implicit narratives about what living with dementia means-shifting away from notions of dementia as pathology and loss toward understandings of dementia that include creative potential, citizenship, and new conceptualizations of well-being.
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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 | 0.024 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.043 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".