Bibliographic record
Abstract
Notes on Contributors. 1. Introduction: Searching for Peace in the Ancient World: Kurt A. Raaflaub (Brown University). 2. Making War and Making Peace in Early China: Robin D. S. Yates (McGill University in Montreal). 3. Ancient India: Peace Within and War Without: Richard Salomon (University of Pennsylvania). 4. Water under the Straw: Peace in Mesopotamia: Benjamin R. Foster (Yale University). 5. Making, Preserving, and Breaking the Peace with the Hittite State: Richard Beal (University of Chicago). 6. Conflict and Reconciliation in the Ancient Middle East: The Clash of Egyptian and Hittite Chariots in Syria and the World's First Peace Treaty between Superpowers: Lanny Bell (Brown University). 7. From Achaemenid Imperial Order to Sasanian Diplomacy: War, Peace, and Reconciliation in Pre-Islamic Iran: Josef Wiesehofer (University of Munster). 8. War and Reconciliation in the Traditions of Ancient Israel: Historical, Literary, and Ideological Considerations: Susan Niditch (Amherst College). 9. They Shall Beat their Swords into Plowshares: A Vision of Peace through Justice and Its Background in the Hebrew Bible: Thomas Kruger (University of Zurich). 10. 'Laughing for Joy': War and Peace Among the Greeks: Lawrence Tritle (University of Chicago). 11. War and Reconciliation in Greek Literature: David Konstan (Brown University). 12. War, Peace, and International Law in Ancient Greece: Victor Alonso (University of La Coruna in Spain). 13. War and Peace, Fear and Reconciliation at Rome: Nathan Rosenstein (Ohio State University). 14. The Price of Peace in Ancient Rome: Carlin A. Barton (University of Massachusetts at Amherst). 15. The Gates of War (and Peace): Roman Literary Perspectives: Jeri DeBrohun (Brown University). 16. Early Christian Views on Violence, War, and Peace: Louis Swift (University of Kentucky). 17. Fight for God-But Do So with Kindness: Reflections on War, Peace, and Communal Identity in Early Islam: Fred M. Donner (University of Chicago). 18. Peace, Reconciliation, and Alliance in Aztec Mexico: Ross Hassig (independent scholar). 19. War and Peace in the Inca Heartland: Catherine Julien (Western Michigan University in Kalamazoo). 20. The Long Peace Among Iroquois Nation: Neta C. Crawford (Boston University).
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.033 | 0.008 |
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".