The Impact of Intersectional Discrimination and Stigma on HIV Care for African, Caribbean, and Black Women Living With HIV During the COVID-19 Pandemic in British Columbia: A Descriptive Study
Bibliographic record
Abstract
ABSTRACT: African, Caribbean, and Black women living with HIV (ACB WWH) in British Columbia experience discrimination on the basis of their race, sex, gender identity, sexual orientation, and HIV status. The various forms of stigma that ACB WWH experience intersect to create a uniquely marginalized experience that has negative consequences for quality of life and overall well-being. Eighteen semistructured interviews were completed with ACB WWH in British Columbia. Interviews were conducted by phone, Zoom, or in-person at the participant's request. Participants consistently reported experiences of various forms of discrimination. There was additional stigmatization due to COVID-19 pandemic that negatively influenced the lives of ACB WWH. Interventions and resources are needed to support ACB WWH in navigating how to work through the multifaceted impacts of intersectional stigmatization. Efforts are needed to identify ways to continue the delivery of resources like social support groups throughout future pandemics.
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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 | 0.001 | 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 | 0.007 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".