“HIV is a Story, not Life”: Resilience among South Asian Women living with HIV in Canada
Bibliographic record
Abstract
Purpose: This study aimed to understand how immigrant South Asian women living with HIV in Canada develop resilience and to identify their self-management strategies. These strategies could be used by marginalised women and can be supported by health providers. Method: The study participants were eight South Asian women with HIV, living in Ontario, Canada. The women belonged to an urban HIV community organisation. Qualitative methods were used to investigate their experiences. In-depth face-to-face interviews were conducted, utilising a photo/object elicitation technique, to identify the strategies used to develop resilience. Results: The women were primarily in mid-adulthood (age range 39-60 years) and had lived for many years with HIV (range 8-25 years). Thematic analysis of the interview transcripts revealed three themes characterising strategies for resilience: identifying the need for self-care, maintaining social connectivity, and remaining optimistic. Conclusion and Implications: With these strategies, the women had cultivated strength and perseverance in adjusting to adversity. Viewing the resilience of South Asian immigrant women living with HIV through a cultural lens could help to understand and facilitate the development of culturally acceptable self-management strategies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".