“Live a normal life”: Constructions of resilience among people in mixed HIV status relationships in Canada
Bibliographic record
Abstract
Abstract: Positive Plus One is a mixed-methods study of long-term mixed HIV-serostatus relationships in Canada (2016–19). Qualitative interviews with 51 participants (10 women, 41 men, including 27 HIV-positive and 24 HIV-negative partners) were analyzed using inductive thematic analysis to examine notions of relationship resilience in the context of emerging HIV social campaigns. Relationship resilience meant finding ways to build and enact life as a normal couple, that is, a couple not noticeably affected by HIV, linked to the partner with HIV maintaining viral suppression and achieving “undetectable = untransmittable” (U = U). Regardless of serostatus, participants with material resources, social networks, and specialized care were better able to construct resilience for HIV-related challenges within their relationships. Compared to heterosexual couples and those facing socioeconomic adversity, gay and bisexual couples were easier able to disclose, and access capital, networks and resources supporting resilience. We conclude that important pathways of constructing, shaping, and maintaining resilience were influenced by the timing of HIV diagnosis in the relationship, access to HIV-related information and services, disclosure, stigma and social acceptance.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.026 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| 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".