The Use and Effectiveness of the Whole School Approach in School-Based Interventions Addressing Gender-Based Violence in Sub-Saharan Africa: A Systematic Review
Bibliographic record
Abstract
Adolescents and young people in sub-Saharan Africa (SSA) experience high rates of gender-based violence (GBV). The whole school approach (WSA) is an established benchmark of effective school-based interventions to address this issue. We conducted a systematic review of peer-reviewed literature using PubMed/Medline, EMBASE, Scopus, Web of Science, Cochrane Library, Clinicaltrials.gov, and Google Scholar (1) to determine the characteristics, measured outcomes, and effectiveness of school-based GBV interventions and (2) to examine each papers’ alignment with WSA and methodological quality. We developed a comprehensive intervention characteristics form for data extraction and analyzed the selected studies’ quality using the modified Methodological Quality Rating Scale. To measure alignment with WSA implementation standards, we expanded the application of the WSA by creating the Whole School Approach Rating Scale (WSARS) for assessing school-based GBV interventions. Most interventions ( n = 14/16) we reviewed effectively addressed at least one of the three outcomes of interest (i.e., sexual violence, physical violence, and GBV-related knowledge/attitudes). Over half ( n = 9/16) of the studies were rated high on the WSARS. However, we observed no significant differences in effectiveness between studies rated high and those rated low on the WSARS. Our results indicate that school-based GBV interventions could be an effective and sustainable strategy for addressing GBV in and around schools.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".