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Record W2297480537 · doi:10.7870/cjcmh-2002-0018

The House of Bethel and Consumer-Run Businesses: An Innovative Approach to Psychiatric Rehabilitation

2002· article· en· W2297480537 on OpenAlexvenueno aff
Mariko Kimura, Ikuyoshi Mukaiyachi, Eriko Ito

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2002
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialRehabilitationTherapeutic communityMentally illWork (physics)PsychologyMental illnessNursingPsychiatrySociologyMental healthMedicineEngineering

Abstract

fetched live from OpenAlex

This article reports on a psychosocial rehabilitation approach which is used by Bethel House in Urakawa, a town in the Hidaka district of northern Japan. This approach is unique in that its primary focus is community development, as opposed to therapeutic work. By starting its own businesses, the Bethel community has: (a) created many employment opportunities for people with mental illness and for members of the larger community; (b) brought about important changes in the attitudes of members of the community, and the hospital staff, towards the mentally ill; (c) improved the relationships among members of Bethel and the Urakawa community; and (d) significantly enhanced the town economy. Bethel success clearly illustrates a broader potential for creative approaches to psychosocial rehabilitation and community development.

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)0.001
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 score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.004
Scholarly communication0.0040.002
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.213
GPT teacher head0.411
Teacher spread0.199 · 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
Published2002
Admission routes1
Has abstractyes

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