Exploring experiences of challenge and resilience in South Asian immigrant older adults living with mild dementia in the Greater Toronto area
Bibliographic record
Abstract
The prevalence of dementia is apparent in various ethnicities and is growing within the Canadian South Asian population. However, the notion of resilience in dementia is dismissed as the dominant biomedical view of dementia prevails. There is a need to reframe that discourse to that of a strength-based, resilience approach to uphold the identity and strengths of a person living with dementia. In this narrative analysis of identity development, two participants living with mild stage dementia and one caregiver shared their experiences of challenge and resilience. Participants’ narratives have been re-storied to demonstrate their identity development and reveal their social world, while applying the Resilience Framework and using the intersectionality lens. Findings revealed that resilience for the two participants living with mild dementia meant 1) having purpose and meaningful worth, 2) having a strong sense of faith, 3) having supports that improve quality of life (family and day program), and 4) coming to their own terms with limited “control”. These findings and further emergent meaning derived from the participants’ narratives bear implications for education, practice, policy and future research.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.008 |
| 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".