SOCIAL EXCLUSION AMONG OLDER WOMEN IN RURAL CANADA
Bibliographic record
Abstract
Background: There is a burgeoning population of older adults globally and there is an increasing urgency in the policy literature to understand the health issues facing this population. A social exclusion lens provides an opportunity to understand health inequity and disadvantage among vulnerable populations. There is limited research examining how social exclusion plays out for older women, particularly in the rural context. This study examines the social exclusion experiences of Canadian, rural, older women and highlights policy implications for global health practitioners. Methods: Guided by the principles of interpretive description, this qualitative study included eight participants who identified as women, 65 years or older, spoke English, and who lived alone in private households in rural communities of Durham Region, Ontario. Concurrent data collection and analysis was conducted using an inductive approach. One-to-one, semi-structured interviews were completed. Findings: Six themes illuminate the exclusion experiences of rural, older women and they include: “Expectations of ageing in rural communities”; “Navigating the tensions of belonging within the social fabric”; “Singlehood isolation”; “Driving independence”; “Health infrastructure and changing personal health”; “Affording ageing”. Implications & Contributions: The study adds a Canadian, rural perspective to the global conceptual literature on social exclusion. It illuminates the unique ways in which female gender and rural context influence social exclusion experiences. Implications for global health policy include: recognizing health as a key category of exclusion and the need to address health equity, adopt a gender-specific and life-course approach to address social exclusion, foster a sense of belonging and peer connection, utilize unconventional channels for engagement, implement social support schemes and health programming which considers non-traditional families or single status as norm for family composition, and support affordable access to health-promoting programs and services.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".