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A Critical Time Intervention with Mentally III Homeless Men

2000· article· en· W1973988851 on OpenAlexaff
Daniel B. Herman, Lewis A. Opler, Alan Felix, Elie Valência, Richard Jed Wyatt, Ezra Susser

Bibliographic record

VenueThe Journal of Nervous and Mental Disease · 2000
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsColumbia College
FundersNational Institute of Mental Health
KeywordsPsychopathologySchizophrenia (object-oriented programming)PsychosocialIntervention (counseling)Positive and Negative Syndrome ScalePsychiatryClinical psychologyMedicinePsychologyPsychosis

Abstract

fetched live from OpenAlex

We describe the impact of a psychosocial intervention, critical time intervention (CTI), on the cardinal symptom dimensions of schizophrenia, namely negative, positive, and general psychopathology. Ninety-six men with schizophrenia and other psychotic disorders who were discharged from a homeless shelter were randomly assigned to receive either CTI or usual services only. CTI is a time-limited intervention designed to enhance continuity of care during the transition from institution to community. Symptom severity at baseline and at 6 months was assessed using the Positive and Negative Syndrome Scale. Using data on 76 subjects for whom we have complete symptom data, we assessed the impact of CTI on change in symptoms. The results suggest that CTI was associated with a statistically significant decrease in negative symptoms at the 6-month follow-up, reflecting modest clinical improvement. There was no significant effect on positive or general psychopathology symptoms.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.007
GPT teacher head0.280
Teacher spread0.273 · 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 designNon-randomized trial
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

Citations87
Published2000
Admission routes1
Has abstractyes

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