Ageing with HIV/AIDS: a scoping study among people aged 50 and over living in Quebec
Bibliographic record
Abstract
ABSTRACT The population of people aged 50 and over represents a significant proportion of people living with HIV in Western nations. While the number of older people living with HIV is rapidly increasing in Canada, research originating in this country remains relatively scarce. This article therefore proposes to describe the impact of the intersection of HIV and ageing on the identities and lived experiences of people living with HIV of 50 and over (PLHIV50+), both on an individual and social level, in order to offer a picture of their lived experience. Using a phenomenological approach, nine semi-structured individual interviews with PLHIV50+ (men and women) were undertaken. Data analysis identified several central themes which constituted the essence of their experience of the intersection of HIV and ageing, such as the experience of premature ageing, the impact of HIV on intergenerational relationships, the shrinking of one's social network, rejection experienced by the older population, a difficult return to work and a deterioration in living conditions. The results of this research highlight the many challenges faced by PLHIV50+, on physical, relational, work and economic levels. Even though some of the problems faced by PLHIV50+ were related to the experience of corporal changes and a deterioration of health, our research was able to highlight the societal and structural factors underlying the stigma of HIV and ageing.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".