MétaCan
Menu
Back to cohort
Record W2095773532 · doi:10.1177/0020764009104286

Perception of Mental Illness: Preliminary Exploratory Research At a Cross-Cultural Outpatient Psychiatric Clinic

2009· article· en· W2095773532 on OpenAlexaffabout
Soma Ganesan, Hiram Mok, Mario McKenna

Bibliographic record

VenueInternational Journal of Social Psychiatry · 2009
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of British ColumbiaVancouver General HospitalUniversity of British Columbia Hospital
Fundersnot available
KeywordsEthnic groupAnxietyRefugeeMental healthPsychiatryMedicineOutpatient clinicImmigrationMental illnessClinical psychologyPerceptionCross-cultural studiesPsychology

Abstract

fetched live from OpenAlex

UNLABELLED: This descriptive study presented an overview of culturally sensitive mental health services and potential barriers for immigrant Canadians. A semi-structured questionnaire was developed and administered to 173 patients who attended a large cross-cultural psychiatry outpatient clinic in Vancouver, British Columbia, Canada. RESULTS: indicated that only 21% of patients were able to state their diagnosis or were able to describe the symptoms of their diagnosis that met the DSM-IV criteria given by a psychiatrist. Examination of patient ethnicity showed that more South Asian (25%) or Southeast Asian (24%) patients had more diagnoses of anxiety disorder in comparison to other ethnic groups. Refugees characterized mental illness in terms of stress or stress-related factors (30%) in comparison to non-refugees (13%). There was a greater preference in women, when compared to men, to prefer the term 'client' versus 'patient'. These results elucidate the importance of cultural and systemic barriers for immigrant Canadians. The need for appropriate service delivery is discussed.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.274
Threshold uncertainty score0.545

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.060
GPT teacher head0.465
Teacher spread0.405 · 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

Citations17
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Social PsychiatrySame topicMigration, Health and TraumaFrench-language works237,207