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Record W2106029314 · doi:10.3109/13561820.2012.686537

Sealing the cracks: Preliminary findings from an inter-ministry initiative to address chronic homelessness in British Columbia

2012· article· en· W2106029314 on OpenAlexaffabout
Michelle Patterson, Julian M. Somers, Akm Moniruzzaman

Bibliographic record

VenueJournal of Interprofessional Care · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsMental healthCriminal justiceChristian ministryMental illnessIntervention (counseling)Social isolationEconomic JusticeSocial workPopulationMedicinePublic healthNursingGerontologyPolitical scienceCriminologyEnvironmental healthPsychologyPsychiatry

Abstract

fetched live from OpenAlex

It is well documented that homeless individuals with severe mental illness (SMI) are in frequent contact with multiple public systems including housing, health, criminal justice, income assistance and various community-based programs. However, this subpopulation of the homeless continues to experience significant unmet needs. This report examines preliminary findings from British Columbia's Homeless Intervention Project, an interagency collaboration designed to improve outcomes for adults with SMI who are chronically homeless. Administrative data from three provincial ministries were used to examine a variety of outcomes for 362 participants with histories of criminal justice involvement. Comparisons of the pre-enrollment period (2 years) and post-enrollment period (6 or 12 months) indicate significant improvements in health and social service involvement and reductions in offending. These findings suggest that interagency collaboration, particularly co-location and sharing of information and administrative oversight, can result in better outcomes for this hard-to-serve population than when agencies are working in isolation.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.408
Teacher spread0.371 · 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

Citations6
Published2012
Admission routes2
Has abstractyes

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