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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 OpenAlexaffabout
Sukhdev Grewal, Joan L. Bottorff, B. Ann Hilton

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.

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)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.003
Scholarly communication0.0010.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.030
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

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

Citations109
Published2005
Admission routes2
Has abstractyes

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