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Record W2302273469 · doi:10.1300/j200v02n01_05

Social Workers' and Physicians' Experiences with Review Panels in British Columbia

2003· article· en· W2302273469 on OpenAlexaffabout
So-han Yip

Bibliographic record

VenueSocial Work in Mental Health · 2003
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsRiverview Hospital
Fundersnot available
KeywordsMental healthEmpowermentSocial workStatutory lawFeelingPsychologyDilemmaNursingMedicinePublic relationsPsychiatrySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Involuntary psychiatric commitment involves a major infringement of a person's civil liberty. In British Columbia, the Mental Health Act (1999) provides a statutory basis for a review of a patient's involuntary status via the review panel. The inherently adversarial nature of review panels may lead to mixed feelings among mental health professionals who are in a dilemma of fostering client self-determination while providing services on the principle of beneficent protection. A quantitative descriptive study was conducted at the provincial psychiatric hospital in British Columbia, surveying the experiences of 39 social workers and physicians with review panels. A questionnaire consisting of 22 Likert-type statements was used. Four categories were identified, namely, (a) patient-related issues, (b) effects of review panels on treatment teams, (c) role conflicts, and (d) operational issues. Despite the apparent lack of formal training, social workers and physicians reported having adequate knowledge of review panels. Although some positive effects of review panels were acknowledged, staff had mixed attitudes towards review panels. Guided by an empowerment model of social work practice, these findings have important implications for social work practice. These include the need for further professional training, improved communication between staff and legal advocates, education for families, and providing support for patients so that review panels would become a more empowering experience for the patients.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
models agreeAgreement compares identical category sets and study designs across arms.

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)0.009
metaresearch head score (Gemma)0.035
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 score0.770
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.035
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0180.007
Scholarly communication0.0070.002
Open science0.0020.007
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.388
Teacher spread0.356 · 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

Labeled directly by 2 models reading the full record.

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

Citations4
Published2003
Admission routes2
Has abstractyes

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