Bibliographic record
Abstract
As a result of advances in treatment over the past 30 years, the number of older people living with HIV is growing. This is of particular concern for Indigenous populations in Canada given continuing over representation in HIV diagnoses. While there has been an increase in research on aging with HIV within the general population, little is known about the experiences of older positive Indigenous peoples. Research was conducted in partnership with the Canadian Aboriginal AIDS Network (CAAN) at CAAN's Wise Practices V conference. Participants were conference delegates, representing a sample of First Nations, Inuit and Métis people living with HIV and/or service providers from across Canada. Participants ranged in age from 32 to 63 and had been positive for 5 to 29 years. Data was collected through four sharing circles (two with women, one with men and one with service providers) and four interviews (n=34). An open analytic approach was used to explore the content of the transcripts and codes were collaboratively developed by the research team through an inductive and iterative process. From our analysis we were able to develop an Indigenous model of successful aging (SA). This proposed Indigenous model of SA represents a holistic and subjective model that is far more achievable than traditional models of SA. Within this model five dimensions of health and wellness emerged as facilitators of SA: physical, emotional, spiritual, mental and social health. Additionally, resilience, age and culture were found to be protective factors to SA. The goal of this project was to identify facilitators and individual strategies which enable SA within this population, in order to develop culturally mediated responses. Ideally, this knowledge can be used to help structure community and primary health services to promote SA with HIV in ways which are congruent with Indigenous culturally-defined notions of health.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".