Old and Homeless: A Review and Survey of Older Adults Who Use Shelters in an Urban Setting
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Research on the mental health and service needs of homeless seniors has been scant. This paper reviews the available literature and presents findings of a Toronto survey in an effort to describe the demographics of homeless seniors, their level of impairment, and their mental and physical health needs. METHODS: We searched the Medline, AgeLine, and PsycINFO databases, using the following key words: elderly homeless, elderly hostel users, and urban geriatrics. To better describe the service needs of the elderly homeless, we obtained demographic data from the Community and Neighbourhood Services Department and distributed a survey questionnaire to 11 Toronto hostel directors. The questionnaire elicited data relating to reasons for shelter use, problem behaviours, and mental health needs of those over age 65 years. RESULTS: Although seniors represent a small percentage of the homeless population, their numbers are growing. The available literature suggests a high prevalence of psychiatric disorders and cognitive impairment in this population, with a greater proportion of older women than men having severe mental illness. Further, our survey suggests that the service needs of elderly hostel users in Toronto differ from those of their younger counterparts. CONCLUSION: The homeless elderly are the most vulnerable of this impoverished population. Although more research is needed to define their mental and physical health needs and ways of meeting them, their characteristics appear to be unique. Geriatric psychiatrists could play a significant role in evaluating and treating this population more comprehensively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it