The Allied War Crimes Programs and the Struggle to enact Justice in Germany 1945-58: Prisons, Prisoners, and the Fight for Legitimacy
Bibliographic record
Abstract
Historians have extensively studied post-Second World War Allied war crimes trials and have also examined how the intensification of the Cold War and the desire to have West Germany rearm and join NATO led to the release of all German war criminals in western Allied custody by 1958. However, the aims, implementation, and evolution of the war crimes program between sentencing and amnesties remains understudied. If historians want to understand postwar justice, how it was meted out, and how it was received by the German public, it is as important to understand the nature of the German war criminals’ incarceration as it is to understand their sentencing and trials. My dissertation examines the three western Allied prisons for war criminals in Germany: Landsberg, Wittlich, and Werl. It examines how the penal regimes were designed, what goals they were meant to achieve, how they were implemented and evolved over time, and how the prisons were defended against misinformation and criticism that threatened to undermine the legitimacy of the war crimes program. It examines how the war criminals understood the system and used that understanding to fight for their release. Finally, as the war crimes programs’ crisis of the legitimacy reached its peak, this dissertation examines how the amnesties were carried out while still attempting to preserve the appearance of judicial legitimacy. Much attention has been paid to the broad political fight over the fate of the war criminals, including studies of their supporters in government, the Church, the press, legal circles, veterans’ groups, and various other interest groups. However, no one has examined what the war criminals themselves were doing during their incarceration – they are completely left out of the narrative. The war criminals did not passively resign themselves to their fate – they did not know that amnesties were coming in the 1950s and so fought vigorously to secure their own release. Therefore, in order to compliment existing scholarship on the debate about war criminals in wider society, I am writing a history that is centered on the war criminals themselves – their prisons, their lives as prisoners, and their fight to be released.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| 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".