"The way I see it": Towards a Community-informed understanding of the relationship between housing and health among people living with HIV in Vancouver, B.C.
Bibliographic record
Abstract
Background: Vancouver, British Columbia has one of the highest HIV prevalence rates in Canada and a growing housing crisis. The limited data available on the impact of housing instability on the health of people living with HIV in this setting has been generated without meaningful involvement of the community. In order to fill this gap, we launched a community-based research project aimed at developing an understanding of the housing-health nexus that is grounded in the experiences of people living with HIV. Methods: Eight Community Researchers – people living with HIV who have experienced homelessness in Vancouver - were recruited and trained by the Project Coordinator to co-facilitate this community based participatory action research project. The Project Coordinator proposed the use of Photovoice to ensure the meaningful engagement of the Community Researchers. Photovoice is a research method that assists people, often marginalized by social-structural inequity, to reflect on their capacities and needs, engage with policymakers and encourage social change. Results: The Community Researchers generated over 300 photographs and engaged in facilitated discussion with the Project Coordinator to identify emergent themes. The Community Researchers described the detrimental impact of inadequate housing on their physical and mental health, and the resiliency promoted by healthy environments. The analysis culminated in the development of a multi-level ecological framework mapping the determinants and impacts of housing instability in this population, representing the first step towards building a comprehensive, community-informed definition of healthy housing as viewed through the eyes of people living with HIV. Interpretation: The findings underscore the need to expand the focus of housing strategies to incorporate the broader political, economic and social context, and to meaningfully engage affected populations in developing policy and programming targeting housing instability.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.026 | 0.017 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.008 |
| 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".