Reframing Aging-in-the-Right-Place for Housing Insecure Older Adults
Bibliographic record
Abstract
Abstract Amidst rising costs of housing and changing personal needs, considerations of the availability of appropriate and accessible housing are becoming increasingly salient for older adults. While it has been widely acknowledged that older adults would prefer to age-in-place, recent reframing of this trend promotes the ideal as aging-in-the-right-place. This symposium will provide an updated understanding of how to support older adults’ ability to age-in-the-right-place, regardless of income or physical, mental, or social status. Presenters include international and interdisciplinary researchers representing perspectives from gerontology, social work, community planning, and health sciences. The symposium will begin with Wada examining resilience scholarship, with a focus on older people who are experiencing homelessness, which has been largely neglected. In the next presentation, Humphries will outline distinct, senior-specific needs and shelter/housing solutions for newly and chronically homeless older adults. Following, Canham will describe promising practices of shelter/housing to support aging-in-the-right-place for older people experiencing homelessness in Montréal, Calgary, and Vancouver identified through an environmental scan. Extending these efforts to an international scale, Mahmood will outline findings from a scoping review of supportive shelter/housing options, supports, and interventions. A final presentation will report on how community development practices implemented by a not-for-profit affordable housing provider promote older tenants’ food security and social support needs. Stephen Golant, a leading expert on housing, geography, and long-term needs on older adults, will discuss implications of these studies for policy and practice for supporting housing insecure older adults while advancing scholarship on aging-in-the-right-place for this marginalized population. Environmental Gerontology Interest Group Sponsored Symposium.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".