Domestic Adjudication of Sexual and Gender-based Violence in Armed Conflict: Considerations for Prosecutors and Judges
Bibliographic record
Abstract
Abstract The increased domestication of international core crimes like genocide, crimes against humanity and war crimes has placed national prosecutors and judges on unfamiliar ground. Specifically, though very welcome, the recognition of acts of sexual and gender-based violence (SGBV) as constituting core international crimes poses a further challenge. The circumstances surrounding the commission of SGBV as international core crimes, coupled with their unique elements and manner of proof, makes their domestic prosecution seem that much more difficult. An understanding of how acts of SGBV constitute international core crimes, their constituent elements and the manner of proving them, coupled with how to treat victims and witnesses of SGBV, goes a long way in easing the perceived challenge of domestically prosecuting them. This article is geared towards achieving that and is directed at people who are involved in or are considering carrying out domestic prosecutions and adjudications of SGBV as international core crimes.
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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 | 0.059 | 0.123 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.010 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".