Evaluating a sexual and reproductive health education program in Mozambique: A mixed method study
Bibliographic record
Abstract
Background: Early and inappropriate messages regarding sexuality and marriage taught during adolescent initiation rituals teachings in Mozambique are considered a determinant of high rates of early marriage, adolescent pregnancy, and maternal mortality. The Alert Community for a Prepared Hospital implementation research project in Natikiri, Nampula, Mozambique (2016-2020) identified adolescent initiation rituals counsellors and traditional authorities as pertinent agents to provide sexual and reproductive health education to adolescents during the initiation rituals. Objective: Develop, apply, evaluate, and disseminate a modern, transformative education tool, about sexual and reproductive health and rights, for counselors to use with adolescents during initiation rituals in Northern Mozambique. Methods: This is an exploratory descriptive and intervention study, using mixed method approaches. Findings: Results suggest, the education tool was well accepted by rituals counsellors, community leaders and the adolescents who attended the initiation rituals. It was shown to improve adolescent’s knowledge and lead to a positive behaviour change in sexual and reproductive health and rights. Conclusions: This intervention may be replicated at a national level with a low cost and significantly contribute to reducing adolescent pregnancy and early marriages and improving maternal and child health.
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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 | 0.010 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.002 | 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".