EVOLUTION—Taking Charge and Growing Stronger: The Design, Acceptability, and Feasibility of a Secondary Prevention Empowerment Intervention for Young Women Living with HIV
Bibliographic record
Abstract
UNLABELLED: In the United States, youth of 13-24 years account for nearly a quarter of all new HIV infections, with almost 1000 young men and women being infected per month. Young women account for 20% of those new infections.This article describes the design, feasibility, and acceptability of a secondary prevention empowerment intervention for young women living with HIV entitled EVOLUTION: Young Women Taking Charge and Growing Stronger. The nine session intervention aimed to reduce secondary transmission by enhancing social and behavioral skills and knowledge pertaining to young women's physical, social, emotional, and sexual well-being,while addressing the moderating factors such as sexual inequality and power imbalances. Process evaluation data suggest that EVOLUTION is a highly acceptable and feasible intervention for young women living with HIV. Participants reported enjoying both the structure and comprehensive nature of the intervention. Both participants and interventionists reported that the intervention was highly relevant to the lives of young women living with HIV since it not only provided opportunities for them to broaden their knowledge and risk reduction skills in HIV, but it also addressed important areas that impact their daily lives such as stressors, relationships,and their emotional and social well-being. Thus, this study demonstrates that providing a gender-specific,comprehensive group-based empowerment intervention for young women living with HIV appears to be both feasible and acceptable.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".