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Record W2246148829 · doi:10.1177/070674370004500108

Homeless Shelter Users in the Postdeinstitutionalization Era

2000· article· en· W2246148829 on OpenAlexaffvenueabout
HL Stuart, Julio Arboleda‐Flórez

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2000
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychologyGerontologyMedicine

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.888
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.029
GPT teacher head0.351
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2000
Admission routes3
Has abstractyes

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