Bibliographic record
Abstract
Focusing on the relationship between the micro level of perpetrator motivation and the macro level normative discourse, this book offers an in-depth explanation for the perpetration of genocide. It is the first comparative criminological treatment of genocide drawn from original field research, based substantially on the author’s interviews with perpetrators and victims of genocide and mass atrocities, combined with wide-ranging secondary and archival sources. Topics covered include: perpetration in organizations, genocidal propaganda, the characteristics of perpetrators, decision-making in genocide, genocidal mobilization, coping with killing, perpetrator memory and trauma, moral rationalization, and transitional justice. An interdisciplinary and comparative analysis, this book utilizes scientific methods with the objective of gaining some degree of insight into the causes of genocide and genocide perpetration. It is argued that genocide is more than a mere intellectual abstraction – it is a crime with real consequences and real victims. Abstraction and objectivity may be intellectual ideals but they are not ideally humane; genocide is ultimately about the destruction of humanity. Thus, this book avoids presenting an overly abstract image of genocide, but rather grounds its analysis in interviews with victims and perpetrators of genocide in Rwanda, Burundi, Uganda, Bosnia, Cambodia, Bangladesh, and Iraq. This book will be highly useful to students and scholars with an interest in genocide and the causes of mass violence. It will also be of interest to policy-makers engaged with the issues of genocide and conflict prevention.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".