Macabre ceremonies: How Los Zetas produces extreme violence to promote organizational cohesion
Bibliographic record
Abstract
Why do some organized crime groups (OCGs) carry out face-to-face killings where perpetrators debase their victims and defile their bodies? Leading criminologists contend that OCGs carry out extreme killings deliberately to attain specific performance objectives. Conversely, psycho-sociological scholars argue that extreme killings only occur in situations that affect perpetrators’ reasoning and emotions. In their view, these situations are largely beyond OCGs’ control. I argue that analyzing extreme killings as organizational rituals can contribute to reconciling these seemingly conflicting views. More specifically, I contend that the OCG known as Los Zetas ritualizes executions to generate the conditions that make extreme violence possible. Through ritualization, Los Zetas influences executioners’ perceptions of extreme behavior from something abhorrent into something valued, desirable, and enjoyable. Once the conditions conducive to extreme violence emerge, Los Zetas exploits it to attain utilitarian objectives.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".