Perpetration and Complicity under Nazism and Beyond : Compromised Identities?
Bibliographic record
Abstract
Perpetration and Complicity under Nazism and Beyond analyses perpetration and complicity under National Socialism and beyond. Contributors based in the UK, the USA, Canada, Germany, Israel and Chile reflect on self-understandings, representations and narratives of involvement in collective violence both at the time and later – a topic that remains highly relevant today. Using the notion of ‘compromised identities’ to think about contentious questions relating to empathy and complicity, this inter-disciplinary collection addresses the complex relationships between people’s behaviours and self-understandings through and beyond periods of collective violence. Contributors explore the compromises that individuals, states and societies enter into both during and after such violence. Case studies highlight patterns of complicity and involvement in perpetration, and analyse how people’s stories evolve under changing circumstances and through social interaction, using varying strategies of justification, denial and rationalisation. Each chapter also considers the ways in which contemporary responses and scholarly practices may be affected by engagement with perpetrator representations.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.005 |
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; both teacher heads agree on what is shown here.
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".