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Record W2103575816 · doi:10.1177/070674370404900908

Client and Community Services Satisfaction with an Assertive Community Treatment Subprogram for Inner-City Clients in Edmonton, Alberta

2004· article· en· W2103575816 on OpenAlexaffvenueabout
Pierre Chue, Philip G. Tibbo, Evelyn Wright, Jelle Van Ens

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2004
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAssertive community treatmentPopulationDisadvantagedPsychiatryMental healthPsychologySubstance abuseAssertivenessInner cityMental illnessAgency (philosophy)MedicineEnvironmental healthSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVES: To evaluate client and agency satisfaction with a specific assertive community treatment subprogram, known as inner-city support, developed in Edmonton to target the inner-city population, and to determine the demographics and potential needs of this population. METHOD: Clients were administered questionnaires based on the Client Satisfaction Questionnaire and the Satisfaction With Life Scale. We also conducted a face-to-face interview. We contacted and similarly surveyed 18 community agencies. RESULTS: The program was well received, although areas for improvements included dissemination of information and hours of operation. Clients also requested more input regarding the development of activities. Clients were predominantly male with a diagnosis of schizophrenia comorbid with substance abuse and antisocial personality disorders, a history of forensic contact, homeless, and dependent on social assistance. CONCLUSION: Among the population with serious and persistent mental illness, inner-city clients represent a particularly disadvantaged subpopulation that may benefit from specialized community programs.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.932

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.311
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations11
Published2004
Admission routes3
Has abstractyes

Explore more

Same venueThe Canadian Journal of Psychiatry→Same topicSchizophrenia research and treatment→French-language works237,207→