MétaCan
Menu
Back to cohort
Record W2150686951 · doi:10.1177/019394590102300405

Uprooting and Resettlement Experiences of South Asian Immigrant Women

2001· article· en· W2150686951 on OpenAlex

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

VenueWestern Journal of Nursing Research · 2001
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsLonelinessImmigrationCoping (psychology)Qualitative researchSocial isolationPsychologyAcculturationSocial supportIndependence (probability theory)Health careNursingSocial psychologyGerontologySociologyMedicineClinical psychologyPolitical sciencePsychiatry

Abstract

fetched live from OpenAlex

The purpose of this descriptive qualitative study was to examine and understand the challenges faced by elderly women from India who immigrated to Canada. Ten women were interviewed about their experiences with immigration and resettlement. The analysis of interview data involved iterative process, through which four themes were identified. These themes were isolation and loneliness, family conflict, economic dependence, and setting in and coping. The participants experienced loss because of changes in traditional values and lack of social support. Because the participants could not manage resettlement on their own, personal independence was not very important. Interdependence for the attainment of emotional security and social rewards was more desirable. Health care professionals must take into account the nature of stress and impact of these experiences on health of older immigrant women.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.287

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.119
GPT teacher head0.469
Teacher spread0.350 · 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