Archives of Sexual Violence in Conflict Zones
Bibliographic record
Abstract
Abstract Our aim is to illuminate the persistent problem of evidence in cases of sexual violence in conflict zones by investigating the relationship between archival practices and processes of legal redress. This special issue consists of six essays, with contributors drawn from the disciplines of history and law. In temporal terms, the cases range from the seventeenth century to the late twentieth century; spatially, they address conflicts in Africa, Asia, Europe, and the United States. The case studies each offer an overview of “their archive,” explain its creation and limitations, and address its political logic and uses. As we interrogate archives, where evidence of sexual violence is located, it is critical that we note three things. First, to understand the nature and political construction of the archive. Second, to use this insight to interpret and assess the nexus of power relations within which historical and contemporary actors operate. Finally, to remember the inescapable limits of the evidence that shape the pursuit of justice, past or present.
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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 | 0.000 | 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".