Confronting Narratives of Loss: Art and Agency in Dementia and Dementia Care
Bibliographic record
Abstract
In this essay, the authors share a conversation about a project that involved students and faculty from Emily Carr University and the University of British Columbia School of Nursing who partnered with Fraser Health Authority to create art for a transitional care unit in Surrey, BC. Yale Road Centre served as a temporary placement for people with dementia who were waiting for a permanent bed in a long-term care facility. The authors describe the background of the project: how it was first conceived and the art created, and the research that was conducted to learn about its impact for residents. Drawing on the findings of this work, they discuss notions of place and place-making in relation to art and the temporary structures of transitional care. They further explore the potential for art in the context of dementia and dementia care to support social citizenship through engaging acts of creative agency.
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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 | 0.017 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.033 | 0.099 |
| Scholarly communication | 0.025 | 0.019 |
| Open science | 0.003 | 0.028 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".