Social dimensions of health across the life course: Narratives of Arab immigrant women ageing in Canada
Bibliographic record
Abstract
The increase in ethnically and linguistically diverse older adults in Canada necessitates attention to their experiences and needs for healthy ageing. Arab immigrant women often report challenges in maintaining health, but little is known about their ageing experiences. This interpretive descriptive study uses a transnational life course framework to understand Arab Muslim immigrant women's experiences of engaging in health-promoting practices as they age in Canada. Women's stories highlight social dimensions of health such social connectedness, social roles and social support that are constructed and maintained within different migration contexts across the life course. Barriers and facilitators to healthy ageing in this population centred around five themes: (i) the necessity of staying strong, (ii) caring for self while caring for others, (iii) double jeopardy of chronic illnesses and loneliness, (iv) inadequate support within large social networks and (v) navigating access to health-supporting resources. The findings point to transnational connections and post-migration social support as major influencers in creating facilitators and barriers to healthy ageing for Arab Muslim immigrant women.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".