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Record W2043460848 · doi:10.1177/01939450022044331

Refugee Experiences and Southeast Asian Women’s Mental Health

2000· article· en· W2043460848 on OpenAlexaff
Ruth Davis, Michael G. Kennedy, Wendy Austin

Bibliographic record

VenueWestern Journal of Nursing Research · 2000
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Alberta
FundersDuquesne University
KeywordsRefugeeMental healthEthnic groupNoticeImmigrationPsychological resilienceSoutheast asiaPsychologyHealth careInterpretative phenomenological analysisGender studiesMedicinePsychiatryPolitical scienceSociologyQualitative researchSocial psychologyEthnology

Abstract

fetched live from OpenAlex

The wars in Southeast Asia displaced thousands of families from Cambodia, Laos, and Vietnam. The upheavals led to a number of waves of immigration to the United States. Current research supports hypotheses of post-traumatic stress disorder diagnoses in refugees from the wars in Vietnam but omits pertinent cultural factors. This phenomenological study of 19 women from Southeast Asia examines the meanings of their refugee experiences. Open-ended interviews with these women reveal themes of survival, despair, and isolation. Health care providers may notice cultural bereavement as opposed to post-traumatic stress disorder, reflecting a psychological resilience not extensively explored previously. Developing empathetic interactions and including important ethnic identity factors in caring for refugee women appear essential in providing appropriate health care.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0030.001
Open science0.0000.004
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 head0.086
GPT teacher head0.473
Teacher spread0.387 · 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

Citations39
Published2000
Admission routes1
Has abstractyes

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