Order from Chaos: Comparing Approaches to Violence in Anthropology, Assyriology, and the Study of the Hebrew Bible
Bibliographic record
Abstract
This article compares the history of scholarship on violence in anthropology in the past one hundred years to major approaches to studying violence in the ancient Near East and ancient Near Eastern sources, including ancient Israel and Israelite literature. The article demonstrates that anthropology and ancient Near Eastern studies have diverged widely in their approaches to violence. In the past two to three decades, the concept of structural violence and new materialist approaches have dominated the study of violence in anthropology, while in Assyriology and the study of ancient Israel/Israelite literature, studies of violence have repeatedly turned to an order and chaos framework. The article ends by suggesting that scholars of ancient West Asia incorporate new materialist approaches more concertedly in studies of violence and either rethink or jettison the simplistic order/chaos dyad.
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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 | 0.008 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.008 | 0.048 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".