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Record W2153701288 · doi:10.5042/ijmhsc.2011.0153

A Life-Course Exploration of the Social, Emotional and Physical Health Behaviours of Widowed South Asian Immigrant Women in Canada: Implications for Health and Social Programme Planning

2011· article· en· W2153701288 on OpenAlexaffabout
Swarna Weerasinghe, Matthew Numer

Bibliographic record

VenueInternational Journal of Migration Health and Social Care · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsLife course approachSociocultural evolutionImmigrationPsychologyGender studiesNarrativeDevelopmental psychologySociologyGerontologyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

This article presents a study of the social, emotional and physical health lifestyle behaviours of a socially marginalised segment of Canada's population: retired, widowed, immigrant mothers from a South Asian country. Using a narrative research process, we explore how present physical, emotional and social health leisure activities are influenced by behaviours from their childhood, with emphasis on migration to Canada, retirement and widowing as lifestyle behavioural change points. Our sample of immigrant women were living in Halifax, Nova Scotia, Canada during the time of the study. The study employed narrative inquiry, which is often used in migration studies. Our qualitative data analyses uncovered themes that linked present social health activities and early life behaviours and the influence on them of cultural constraints or stimulants. Three forms of sociocultural influences, gender segregation, patriarchal protection and early preparation for marriage, shaped adolescence and adult life as less physically active but more emotionally and socially healthy. Later life events, migration, retirement and widowing, enabled women to gain freedom to renegotiate and reconstruct late-life styles to be more physically and socially active through ethno-cultural social networks they had built after migration. The concluding discussion makes recommendations for health and social programme planning to draw attention to cultural realms that could help these women become physically active after migration without compromising traditional social behaviours.

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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.992

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 studies0.0010.000
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 head0.087
GPT teacher head0.392
Teacher spread0.306 · 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 teacher head, 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

Citations15
Published2011
Admission routes2
Has abstractyes

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