HIV-sensitive social protection for unemployed and out-of-school young women in Botswana: An exploratory study of barriers and solutions
Bibliographic record
Abstract
Promotive social protection programs aim to increase income and capabilities and could help address structural drivers of HIV-vulnerability like poverty, lack of education and gender inequality. Unemployed and out-of-school young women bear the brunt of HIV infection in Botswana, but rarely benefit from such economic empowerment programs. Using a qualitative exploratory study design and a participatory research approach, we explored factors affecting perceived program benefit and potential solutions to barriers. Direct stakeholders (n = 146) included 87 unemployed and out-of-school young women and 59 program and technical officers in five intervention districts. Perceived barriers were identified in 20 semi-structured interviews (one intervention district) and 11 fuzzy cognitive maps. Co-constructed improvement recommendations were generated in deliberative dialogues. Analysis relied on Framework and the socioecological model. Overall, participants viewed existing programs in Botswana as ineffective and inadequate to empower vulnerable young women socially or economically. Factors affecting perceived program benefit related to programs, program officers, the young women, and their social and structural environment. Participants perceived barriers at every socioecological level. Young women's lack of life and job skills, unhelpful attitudes, and irresponsible behaviors were personal-level barriers. At an interpersonal level, competing care responsibilities, lack of support from boyfriends and family, and negative peer influence impeded program benefit. Traditional venues for information dissemination, poverty, inequitable gender norms, and lack of coordination were community- and structural-level barriers. Improvement recommendations focused on improved outreach and peer approaches to implement potential solutions. Unemployed and out-of-school young women face multidimensional, interacting barriers that prevent benefit from available promotive social protection programs in Botswana. To become HIV-sensitive, these socioeconomic empowerment programs would need to accommodate or preferentially attract this key population. This requires more generous and comprehensive programs, a more client-centered program delivery, and improved coordination. Such structural changes require a holistic, intersectoral approach to HIV-sensitive social protection.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| 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".