PROFILES OF OLDER HOMELESS ADULTS WITH CHRONIC MENTAL HEALTH PROBLEMS IN LOS ANGELES COUNTY
Bibliographic record
Abstract
Homeless adults with ongoing mental health problems are a particularly vulnerable segment of the older adult population, but the characteristics and conditions of this population remain largely unknown to aging researchers. We use data on 2,169 unsheltered adults over age 50 from the 2017 Los Angeles County Homeless Survey to examine the characteristics of mentally ill older homeless adults, their pathways to homelessness, and their service needs. Chronic mental health problems were prevalent in 48% of older adults, with higher prevalence among women (54%) compared to men (47%) and those ages 50–64 (49%) compared to those 65+ (42%). About one-quarter also had drug or alcohol problems or physical illness and 41% also had a disability. Results from multivariate models adjusted for age, gender, race/ethnicity and education show those with mental health problems are more likely to have had their first experience of homelessness prior to age 50 and are more likely to be living in a tent. The primary reasons identified for loss of housing related to medical conditions, drug use, and mental health. Respondents were asked to rate the importance of a variety of services. Those with mental health problems were more likely to identify as being important or very important services related to transportation, legal, physical and mental health, drug treatment, disability, and family counseling. It’s critically important to address the needs of this largely invisible, but incredibly vulnerable, older adult population.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".