Homeless Shelter Users in the Postdeinstitutionalization Era
Bibliographic record
Abstract
OBJECTIVE: To describe the psychiatric symptomatology and mental health service needs of homeless shelter users in Calgary, Alberta. Data were collected as part of a broad-based community action initiative designed to reduce the problem of homelessness. METHODS: A semistructured interview was conducted with a representative sample of 250 emergency shelter users. Mental health problems were measured through self-reports of 9 psychiatric symptoms known to be related to illnesses prevalent among homeless populations (depression, anxiety, and psychoses). The CAGE alcohol screen was also used. RESULTS: Three-quarters of the sample expressed some symptomatology. About one-third were estimated to have a significant mental health problem. The lifetime prevalence of alcohol abuse was 33.6%. Higher levels of psychiatric symptomatology appeared to relate to a wide range of hardships, personal and public health risks, addictive behaviours, victimization, economic and interpersonal life events, dissatisfaction, and stress. Also, those with significant symptomatology frequently needed mental health care services but often did not know where to access them. CONCLUSIONS: The prevalence of mental health and substance abuse problems within homeless populations is significant and associated with considerable hardship as well as personal and public health risks.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".