“I die silently inside”. Qualitative findings from a study of people living with HIV who migrate to and settle in Canada
Bibliographic record
Abstract
We report on qualitative findings from a mixed methods study, examining enacted and internalized stigma during mandatory HIV screening among immigration applicants living with HIV in Canada. Qualitative findings show alignment with characteristics of internalized HIV stigma. We conducted 34 semi-structured interviews, and analyzed the data through thematic analysis, using Intersectionality and the Internalized HIV Stigma Scale as our theoretical and analytical frameworks. Participants described experiences of enacted and internalized HIV stigma in ways that were consistent with the four main domains of stereotypes, disclosure concerns, social relationships, and self-acceptance, but also extended the description of HIV stigma beyond these domains. Experiences of internalized HIV stigma and enacted stigma during the Canadian Immigration Medical Examination could potentially influence individuals' long-term engagement in the HIV care cascade during the process of migration to, and settlement in, Canada. We present recommendations for the broader migrant health research agenda, health and social care providers, and public health policies.
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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 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.028 | 0.017 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.006 |
| 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".