Shelter and Housing Options, Supports, and Interventions for Older People Experiencing Homelessness
Bibliographic record
Abstract
Abstract While older people experiencing homelessness (OPEH) can have life histories of homelessness or experience homelessness for the first time in later life, understandings of shelter/housing models that meet diverse needs of this population are limited. We conducted a scoping review of the international literature on shelter/housing models available to support OPEH. Through an iterative process of reading and rereading 24 sources (published 1999-2019), findings were organized into 5 categories of shelter/housing models that have been developed to support OPEH: 1) Permanent supportive housing (PSH), including PSH delivered through Housing First, 2) Transitional housing, 3) Shelter settings with medical supports, 4) Drop-in centers, and 5) Case management and outreach. Findings expand our understanding of how a continuum of shelter/housing options are needed to support distinct health and housing needs of diverse OPEH. Policy and practice implications related to integrating health and social care to support OPEH to age-in-the-right-place will be discussed. Part of a symposium sponsored by the Environmental Gerontology Interest Group.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".