To Prevent, React, and Rebuild: Health Research and the Prevention of Genocide
Bibliographic record
Abstract
OBJECTIVE: To develop an approach to the primary prevention of genocide, based on established public health-based violence prevention methods derived from a variety of high-risk settings. DATA SOURCES: (1) Peer-reviewed literature in the fields of public health, violence/injury prevention, medicine, economics, sociology, psychology, history, and genocide studies, (2) demographic and health data bases made available by governments and international organizations, (3) reports on recent episodes of genocide published by international and nongovernmental organizations, (4) newspaper and journalistic accounts of recent and past genocides, (5) archival testimonies of genocide victims and perpetrators, and (6) court transcripts of international genocide prosecutions. STUDY DESIGN: The research was conducted as a medical-historical policy analysis synthesizing data within the following framework: (1) Assessment of current violence and injury prevention models for suitability in the prevention of extreme, population-wide violence, (2) analysis of morbidity and mortality data to quantify the impact of genocide on the health of populations, (3) making an inventory of the known societal risk factors for genocidal violence, (4) identification of the theorized, modifiable attitudinal risk factors for genocidal behavior within a population health model, and (5) assessment of existing projects targeting primary violence and injury prevention in high risk jurisdictions, for future adaptation within a structured, public health approach. PRINCIPAL FINDINGS: Mortality rates due to genocidal violence are far in excess of other public health emergencies including malaria and HIV/AIDS. The immediate and long-range health consequences of genocide include the sequelae of infectious diseases, organ system failure, and psychiatric disorders, conferring an increased burden of disease on affected populations for multiple subsequent generations. The impact of genocide on local health economies is catastrophic, and the opportunity costs of diverting scarce global health dollars toward ameliorating genocide related outcomes are substantial. Structural risk factors for genocide within societies include: totalitarian government, exclusionary ideologies, armed conflict, economic hardship, and inaction of bystander nations. Proposed psychological risk factors for genocidal behavior include: moral exclusion, authority orientation, action in self-interest, desensitization, and compartmentalized thinking. Violence and injury prevention models, incorporating what is currently known about the societal and behavioral risk factors for genocide in high-risk populations, may be modified to address the primary prevention of catastrophic violence on a population-wide scale. A number of existent global peace building initiatives may serve as models for the design of future prevention initiatives in high-risk, pre-genocide jurisdictions. CONCLUSIONS: Our analysis suggests that genocide is one of the most pressing threats to the health of populations in the twenty-first century. Recent advances in the public health discipline of violence prevention provide a blueprint for approaches to primary genocide prevention based on epidemiological methods.
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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 | 0.045 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.004 | 0.026 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".