Improving livelihoods and gender equitable attitudes of street‐connected young people in Eldoret, Kenya: Results from a pilot evidence‐based intervention
Bibliographic record
Abstract
Street-connected young people (SCY) in Eldoret, Kenya, experience substantial gender inequities, economic marginalization and are highly vulnerable to acquiring HIV. This study sought to explain and explore how participation in a pilot-adapted evidence-based intervention, Stepping Stones and Creating Futures, integrated with matched savings, changed SCY's economic resources, livelihoods and gender equitable attitudes. We piloted our adapted intervention using a convergent mixed-methods design measuring outcomes pre- and post-intervention with 80 SCY in four age- and gender-stratified groups of 20 participants per group (young women aged 16-19 years and 20-24 years, young men aged 16-19 years and 20-24 years). The pilot occurred at MTRH-Rafiki Centre for Excellence in Adolescent Health in Eldoret, Kenya, from September 2017 to January 2018. Through street outreach, Peer Facilitators created four age- and gender-stratified sampling lists of SCY whom met the eligibility criteria and whom indicated their interest in participating in the intervention during outreach sessions. Simple random sampling was used to select eligible participants who indicated their interest in participating in the intervention. The adapted intervention, Stepping Stones ya Mshefa na Kujijenga Kimaisha, included 24 sessions that occurred over 14 weeks, focused on sexual and reproductive health, gender norms in society, livelihoods and included a matched-savings programme conditional on attendance. The primary outcome of interest was gender equitable attitudes measured using the Gender Equitable Men scale and secondary outcomes included economic resources and livelihoods. Participants had a significant change in gender equitable attitudes from pre- to post-intervention from 43 (IQR 38-48) to 47 (IQR 42-51) (p < .001). Quantitatively and qualitatively participants reported increases in daily earnings, changes in street involvement, housing and livelihood activities. Overall, this study demonstrated that the adapted programme might be effective at changing gender equitable attitudes and improving livelihood circumstances for SCY in Kenya.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".