Bibliographic record
Abstract
The essays collected in this volume stem from papers delivered at a conference sponsored by the German Historical Institute in Amsterdam in 2003. Dedicated to exploring how the Allied powers, and indeed the Germans themselves, approached the prosecution of Nazi crimes, this volume is a welcome departure from earlier editions on postwar justice which have tended to focus more exclusively on proceedings at Nuremberg. The eleven articles included here consider instead a wide array of judicial responses to Nazi crimes including American military trials in occupied Germany, trials launched in East and West Germany and in Austria, denaturalization proceedings held in the United States against suspected Nazi perpetrators, and trials involving Holocaust deniers in Great Britain and Canada. Although the contributions included here deal with diverse aspects of national and international law and are not easily grouped, dominant themes include the continuities between the Nazi era and postwar German judiciaries, the impact of the Cold War on the process of adjudicating Nazi crimes in East and West German courts, and the perception and portrayal of Wehrmacht crimes in West and reunified Germany. Further, contributions to this volume illuminate the critical role of the American military in the investigation and prosecution of Nazi war criminals in the immediate postwar context, and the role of legal proceedings in establishing the historical record of the Holocaust. Taken together, the essays included here effectively broaden the spectrum of legal and historical issues which have thus far shaped the historiography surrounding Nazi crimes and the law.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.029 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".