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Record W1999595422 · doi:10.1080/17542863.2012.677459

Mental health problems in Thai immigrants in Toronto, Canada

2012· article· en· W1999595422 on OpenAlex
Apisamai Srirangson, Kednapa Thavorn, Miea Moon, Samuel Noh

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Culture and Mental Health · 2012
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsMental healthImmigrationPsychiatryAccommodationAcculturationGeneral Health QuestionnaireIntervention (counseling)PsychologyMedicineRentingMini-international neuropsychiatric interviewClinical psychologyGerontologyAnxiety

Abstract

fetched live from OpenAlex

This study presents preliminary results on the level of mental health problems in a small community of immigrants from Thailand. Data for the study were derived from a pilot survey of adult Thai immigrants living in the Greater Toronto Area in Canada. Survey data were collected from a non-probability sample of 145 adults between January and May 2009. Using a threshold of 5/6 for GHQ-28, about 14% of the sample was considered at risk for psychiatric disorder or mental health problems. Acculturative stress significantly increased risk of psychiatric disorder, whereas social support and mastery significantly lowered risk of psychiatric disorder. Participants working multiple jobs and renting an accommodation also had an increased risk of psychiatric disorder. Community-based intervention programmes that focus on developing social support and personal mastery among Thai immigrants are recommended.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.814

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.412
Teacher spread0.386 · 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