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Record W2247816308 · doi:10.3928/02793695-20040301-08

Evaluation<i>of the</i>Alumni Program:<i>A Shared-Care Model for Pschosis</i>

2004· article· en· W2247816308 on OpenAlexaboutno aff
Heather Hobbs, Jane Hamilton Wilson, Suzanne Archie

Bibliographic record

VenueJournal of Psychosocial Nursing and Mental Health Services · 2004
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsnot available
Fundersnot available
KeywordsNaturalistic observationPsychosisPsychiatryNursingPsychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

This article describes the results of a prospective, naturalistic evaluation of the Alumni Program, conducted by the Psychotic Disorders Clinic at the McMaster Site of Hamilton Health Sciences, Hamilton, Ontario, Canada. The Alumni Program is a form of continuing psychiatric support offered to individuals with psychosis. The program involves providing shared care by both the specialist psychiatric team and the family practitioner. This model has been in operation for more than 8 years. The clinical data have been reviewed to determine whether the program is beneficial in supporting clients with their health maintenance goals, thus reducing occurrences of relapse, hospital readmission, and crisis or emergency room visits. The results appear favorable and affirm the Alumni Program is one viable method of follow up within a comprehensive range of psychiatric services.

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)0.014
metaresearch head score (Gemma)0.018
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.040
GPT teacher head0.426
Teacher spread0.386 · 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

Citations8
Published2004
Admission routes1
Has abstractyes

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