Perceptions about the use of direct cash-transfers to increase housing stability and HIV services utilization among street-connected young women in Western Kenya
Bibliographic record
Abstract
Addressing homelessness is a critical component of HIV prevention; in high income countries, unconditional cash-transfer (CT) programs have been implemented for housing support with youth populations. Here we describe a pilot unconditional CT program for street-connected young women in western Kenya and stakeholder and beneficiary perceptions of its feasibility, acceptability, appropriateness, implementation and sustainabilit. Interviews were conducted with 17 participants, of which 9 were street-connected young women (median age 22 years) and 8 were key informants (policymakers, healthcare workers and community organization workers in two counties). Almost all street-connected young women were strongly in support of the CT program, citing numerous potential benefits, including general wellbeing and safety, improved community perceptions secondary to housing related cleanliness, the potential to create businesses and generate independent income, and finally HIV-related adherence benefits. In general, stakeholders were also supportive, with some indicating additional programmatic considerations were necessary related to the CT monetary amount, disbursement procedures, and sustainability and expansion. The CT program was found to be highly feasible, appropriate and acceptable; participants provided additional input on implementation and sustainability approaches.
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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 | 0.004 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".