Aging in the Right Place? Photovoice With Older Adults Residing in Shelters During COVID-19
Bibliographic record
Abstract
Abstract Aging in the right place (AIRP) involves supporting older adults to live as long as possible in their homes and communities, recognizing that where an older person lives impacts their ability to age optimally and must match their unique lifestyles and vulnerabilities. Photovoice, a participatory action research strategy, allows people to document their experiences through photography, promoting critical dialogue about issues such as AIRP and rights-based housing. This presentation highlights the concept of AIRP from the perspectives of a diverse group of older adults living in promising practices shelters in Vancouver, Montreal, and Calgary, Canada using photovoice. Findings indicate that the process promoted a sense of empowerment among participants. Insights about older adults’ perceptions of AIRP residing in shelters to best meet their intersectional identities, housing, and support needs will be shared. Findings inform policy initiatives that promote AIRP and the right to adequate housing for older adults experiencing homelessness.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".