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Record W2187871628 · doi:10.7870/cjcmh-2000-0008

Defining Mental Illness and Accessing Mental Health Services: Perspectives of Asian Canadians

2000· article· en· W2187871628 on OpenAlexaffvenue
Han Z. Li, Annette J. Browne

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2000
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsMental healthMainstreamFeelingMental illnessAnguishMiddle Eastern Mental Health Issues & SyndromesPsychologyPerceptionAnxietyPsychiatryMedicineSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Asian Canadians consistently underutilize mainstream mental health services. This study investigates how the definition and meaning of mental illness relates to barriers Asian Canadians find in accessing mental health services. Personal interviews were conducted with 60 Asian Canadians in a northern community in the province of British Columbia. Content analyses revealed six themes that defined a mental health problem: (a) feeling a lack of purpose in life, (b) feeling lonely, (c) difficulties understanding and dealing with a new environment, (d) high anxiety levels, (e) descriptions of mental health problems as somatic illnesses, and (f) perceptions of mental illness as serious and potentially not treatable. It was also found that poor English language ability and a lack of understanding of mainstream culture were major barriers to accessing mental health facilities. Findings of this study provided valuable insights concerning Asian immigrants' hesitancy accessing and utilizing mainstream mental health facilities. The many poignant personal anecdotes illustrate that the migration and adaptation processes can be painful and full of anguish. Unless their experiences are better understood and accepted, many Asian Canadians will likely remain outside of the available mainstream mental health facilities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.190
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.345
Teacher spread0.322 · 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 teacher head, not a consensus.

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

Citations114
Published2000
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Community Mental HealthSame topicMigration, Health and TraumaFrench-language works237,207