COVID‑19, Retention in HIV Care, and Access to Ancillary Services for Young Black Men Living with HIV in Chicago
Bibliographic record
Abstract
This study conducted 28 semi-structured, in-depth interviews with Young Black Men who have Sex with Men in Chicago to investigate the impact of COVID-19 on their HIV care and ancillary service access. The qualitative analysis identified both negative and positive effects. The negative effects included: (l) mixed disruptions in linkage to and receipt of HIV care and ancillary services, and (2) heightened concerns about police and racial tensions in Chicago following the murder of George Floyd, contributing to possible disruption of retention in care. The positive effects included: (1) the ability to reflect and socially connect, contributing to heightened self-care and retention in care, and (2) some improvements in receipt of medical care. These findings suggest that while COVID-19 disruptions in care reduced in-person use of HIV care, the expansion of telemedicine allowed more administrative tasks to be handled online and focused in-person interactions on more substantive interactions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".