Judicializing History: Mass Crimes Trials and the Historian as Expert Witness in West Germany, Cambodia, and Bangladesh
Bibliographic record
Abstract
Henry Rousso warned that the engagement of historians as expert witnesses in trials, particularly highly politicized proceedings of mass crimes, risks a judicialization of history. This article tests Rousso’s argument through analysis of three quite different case studies: the Frankfurt Auschwitz trial; the Extraordinary Chambers in the Courts of Cambodia; and the International Crimes Tribunal in Bangladesh. It argues that Rousso’s objections misrepresent the Frankfurt Auschwitz trial, while failing to account for the engagement of historical expertise in mass atrocity trials beyond Europe. Paradoxically, Rousso’s criticisms are less suited to the European context that represents his purview, and apply more readily to the highly-politicized crimes tribunals outside the continent. Finally, it contends that the importance of the proceedings themselves should be measured in full against the hypothetically corrupting effects of historians’ engagement as experts in court.
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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 | 0.001 |
| 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".