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From psychiatric ward to the streets and shelters

2006· article· en· W2164814248 on OpenAlexaffabout
Cheryl Forchuk, G. RUSSELL, Shani Kingston-MacClure, Katy Turner, Suelen Caroline Dill

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2006
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsInnovation, Science and Economic Development CanadaLondon Health Sciences CentreLawson Health Research Institute
Fundersnot available
KeywordsPsychiatryPsychologyMedicine

Abstract

fetched live from OpenAlex

The issue of discharge from hospital ward to the streets is seldom explored in the literature, but all too commonly experienced by individuals experiencing psychiatric disorders. The Community University Research Alliance on Housing and Mental Health sought to determine how frequently people were discharged from psychiatric wards to shelters or the street in London, Ontario, Canada. A number of data sources were accessed to determine instances of discharges to shelters or the street. Data were analysed to determine the number of moves occurring between hospital and shelter or no fixed address. All datasets revealed the problem of discharge to shelters or the street occurred regularly. All data sources used have the difficulty of likely underestimating the extent of the problem. This type of discharge occurred at least 194 times in 2002 in London, Ontario, Canada. Policies that contribute to this problem include income-support policies, the reduction in psychiatric hospital beds and the lack of community supports. Without recognition, this problem is at risk of remaining invisible with no further improvements to the situation.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score1.000

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.407
Teacher spread0.387 · 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

Citations46
Published2006
Admission routes2
Has abstractyes

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