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Record W1984679278 · doi:10.1037/h0095005

Perceived stigma and community integration among clients of assertive community treatment.

2002· article· en· W1984679278 on OpenAlexaff
Pamela N. Prince, Christopher R. Prince

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2002
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutions3M (Canada)
Fundersnot available
KeywordsAssertive community treatmentCommunity integrationPsychologyStigma (botany)PsychosocialPovertyPerceptionSocial supportContext (archaeology)Social integrationSocial environmentUnemploymentClinical psychologyPsychiatrySocial psychologyMental illnessMedicineMental healthPolitical science

Abstract

fetched live from OpenAlex

Facilitating the integration of persons with psychiatric disabilities is an important goal of community programs. In addition to limitations such as inadequate housing, poverty, and unemployment, a common barrier to community adjustment identified by people with psychiatric disabilities is their perception of being stigmatized. This study examined the relationships between perceived stigma and community integration in 95 clients of assertive community treatment (ACT) teams, using sequential multiple regression procedures. Findings indicate that despite their physical presence in the community and the intensive support they receive, ACT clients believe other community members will reject them. Moreover, this perception appears to interfere with their sense of belonging, particularly among those who also perceive less social support and who have greater psychosocial skill deficits. In the context of the present study, global self-esteem did not mediate this relationship. In addition to community focused antistigma campaigns, stigma-related issues should also be addressed with ACT clients themselves.

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)0.008
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.049
GPT teacher head0.364
Teacher spread0.316 · 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

Citations109
Published2002
Admission routes1
Has abstractyes

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