"I Wanted Them to Be Punished or at Least Ask Us for Forgiveness”: Justice Interests of Female Victim-Survivors of Conflict-Related Sexual Violence and Their Experiences with Gacaca
Bibliographic record
Abstract
Survivors of human rights abuses need to experience a sense of justice to support their individual recovery. Women who have experienced conflict-related sexual violence have specific justice interests that are distinct from those of survivors of other abuses. This article focuses on justice interests of Rwandan women who experienced sexual violence during the genocide in Rwanda and who had their cases tried in gacaca community courts between 2008 and 2012. The article discusses two justice interests that emerged during interviews with 23 Rwandan women about their gacaca experience. These interests include the punishment of perpetrators and perpetrators taking responsibility for their actions and the harm caused. Punishment was important to most women for several reasons, including retribution, safety, validation and vindication. Perpetrators taking responsibility by confessing, apologizing or asking for forgiveness was also important to many women and appeared to be an alternative way of experiencing validation and vindication.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".