Deviant Cohesion and Unauthorized Atrocities: Evidence from the American War in Vietnam
Bibliographic record
Abstract
Why do soldiers engage in unauthorized atrocities? This article explores this question by analyzing the use of postmortem mutilation by American soldiers during the Vietnam War. I show that such acts were remarkably frequent, despite being explicitly prohibited by military policy, and argue that individual-level variation in participation in such violence is explained by social dynamics within military units. Soldiers used mutilation mostly as a means of avenging enemy atrocities or deaths among comrades. Revenge motives were stronger when soldiers shared particularly strong social bonds. Whether these motives resulted in unauthorized atrocity, however, depended on the extent to which discipline was maintained within military units. In units characterized by “deviant cohesion”—strong social ties and weak discipline—informal combatant norms diverged from organizational policies and promoted unauthorized atrocities as a unit-level practice. Evidence for this theory comes from a combination of archival sources and survey data gathered from a representative sample of Vietnam War veterans. A case study of a single Army unit illustrates the mechanism implied by the theory.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".