Bibliographic record
Abstract
This article discusses the personal narratives (both published and personal interviews collected for the purpose of this study) of female survivors of wartime rape in post–World War II Germany and postconflict Bosnia and Herzegovina. The authors examine how the women succeed in finding their words both for and beyond the rupture caused by the rapes through examples of life writing that challenge the dominant masculinist historical narrative of war created for ideological reasons and for the benefit of the nation-state. Using theories of trauma and insights by feminist scholars and historians, the authors argue that a transnational reading of survivors’ accounts from these very different geopolitical and historical contexts not only shows multiple points of mutual influence, but also how these narratives can make a significant contribution, both locally and globally, when it comes to revisiting how wartime rape is memorialized, and how lessons learned from the two contexts can be relevant and applicable in other situations of armed conflict as well.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.049 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.020 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".