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Record W2329351348 · doi:10.2975/27.2004.228.234

Stakeholder perspectives on psychiatric foster homes: Residents, families, caregivers, and professionals.

2004· article· en· W2329351348 on OpenAlexaff
Myra Piat, Michel Perreault, Denis Lacasse, Sofia Ioannou, Nicole Pawliuk, D. M. Bloom

Bibliographic record

VenuePsychiatric Rehabilitation Journal · 2004
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsDouglas Mental Health University InstituteDouglas College
Fundersnot available
KeywordsAutonomyStakeholderFocus groupPsychologyRehabilitationNursingPsychiatryMedicinePublic relationsSociologyPolitical science

Abstract

fetched live from OpenAlex

Eight focus groups were conducted with the stakeholders involved in psychiatric foster homes: people with psychiatric disabilities, families, caregivers, and professionals. Four content dimensions emerged as important: 1) foster home environment, 2) caregiver characteristics, 3) community integration, and 4) stakeholder relationships. Findings revealed different perspectives among stakeholders. Caregivers and professionals differed in their views on rehabilitation. Families wanted stricter controls within homes; residents appreciated more autonomy. While residents and caregivers focussed on integration within the foster home, professionals criticized the lack of community integration. These findings demonstrate the need to examine the perspectives of multiple stakeholders in order to present a complete view of psychiatric foster homes.

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)0.008
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0030.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.080
GPT teacher head0.387
Teacher spread0.307 · 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 designQualitative
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

Citations7
Published2004
Admission routes1
Has abstractyes

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