TOWARDS A LOCALIZED UNDERSTANDING OF VIOLENCE AGAINST CHILDREN AND ADOLESCENTS IN AFRICA
Bibliographic record
Abstract
Despite global and African continental efforts to curb violence against children (VAC), it is the fourth leading cause of death for young people aged 15 to 19 in Africa, according to a 2021 UNICEF report. In introducing this special issue on VAC in Africa, I contend that violence prevention and response efforts ought to be situated in local understandings of how violence is inflicted and experienced. Sociocultural and political ideals and values present in Africa nurture an atmosphere in which adults exercise power over children’s lives and can inflict harm upon them if they choose. Age-based power (adultism) facilitates VAC. Therefore, this special issue is underpinned by childism as a framework for challenging adultism in an effort to achieve a contextualized understanding of VAC in Africa, and how best to respond to and ultimately prevent it.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".