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Record W2140567100 · doi:10.1177/1074840705278622

The Influence of Family on Immigrant South Asian Women’s Health

2005· article· en· W2140567100 on OpenAlex
Sukhdev Grewal, Joan L. Bottorff, B. Ann Hilton

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

VenueJournal of Family Nursing · 2005
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of British ColumbiaLangara College
Fundersnot available
KeywordsImmigrationMedicineMainlandQualitative researchFamily healthHealth careMainland ChinaGerontologyNursingSociologyGeographyChinaPolitical science

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the influence of family members on immigrant South Asian women's health and health-seeking behavior. This qualitative study was part of a larger study that examined the health-seeking practices of immigrant South Asian women living in the Lower Mainland of British Columbia, Canada. Using ethnographic methods, data were collected through face-to-face interviews with women who had lived in Canada for 10 months to 31 years. Analysis of translated and transcribed data revealed that women made decisions about their health in consultation with family members. Overall, family members were perceived to be supportive and provided direct and indirect assistance to women in ways that influenced their health. Expected roles and responsibilities often had detrimental influences on women's health. Health care for immigrant South Asian women needs to take into account women's relationships with family members and the influence of family on women's health.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.430

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 head0.030
GPT teacher head0.353
Teacher spread0.323 · 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