Moderated effects of risky behavior on academic performance among adolescent girls living in urban slums of Kenya
Bibliographic record
Abstract
This paper examines effects of life-skills, mentoring, and counseling education intervention implemented among primary school attending girls aged between 10 and 19 years, living in Nairobi slums. We hypothesized that interaction between the intervention and aspiration, self-confidence and interest in schooling, mediates the impact of risky behavior on academic performance. This quasi-experimental study had two treatment arms of 538 girls and one comparison with 272 girls. The first treatment arm received life skills mentoring, after school support with homework, and parental counseling; the second treatment arm received a package similar to the first arm excluding parental counseling; while the comparison arm received nothing during the implementation period, but they got a secondary school fees subsidy at the end of the intervention. The analysis shows that the intervention had statistically significant effects on some aspects of risky behavior and the mediators. Results from a structural equation model show existence of strong moderated mediation effects of risky behavior on academic performance. The importance of the findings is in demonstrating how inner-character attributes could enhance learning outcomes, especially among adolescent girls in low-resourced environments.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".