The human potential for peace : an anthropological challenge to assumptions about war and violence
Bibliographic record
Abstract
Foreword by Robert A. Hinde: Preface: 1. Questioning the War Assumption A Preview of Coming Attractions 2. The Peace System of the Upper Xingu A Peace System Social Organization 3. Taken for Granted: The Human Potential for Peace Avoidance Toleration Negotiation Settlement Cultural Beliefs and Aggression Prevention Points to Highlight 4. Making the Invisible Visible: Belief Systems in San Andres and La Paz So Near and Yet So Far Different Learning Environments Multicausality and Multidimensionality Some Broader Implications 5. The Cross-Cultural Peacefulness-Aggressiveness Continuum A Peacefulness-Aggressiveness Continuum Growing Interest in Peaceful Societies Peaceful Societies: Not Such a Rare Breed After All 6. Peace Stories The Semai of Malaysia Ifaluk of Micronesia Norwegians: A Nation at Peace Returning to Hidden Assumptions 7. A Hobbesian Belief System? On the Supposed Naturalness of War Warfare and Feuding from a Cross-Cultural Perspective Nonwarring Cultures 8. Social Organization Matters! Types of Social Organization The Link betwen Warfare and Social Organization Social Organization and Seeking Justice Implications 9. Paradise Denied: A Bizarre Case of Skullduggery The Unmaking of the Myth-Weaver 10. Re-Creating the Past in Our Own Image Assumptions Come Tumbling Down The Earliest Evidence of War 11. Cultural Projections 12. Aboriginal Australia: A Continent of Unwarlike Hunter-Gatherers The Paucity of Warfare Conflict Management Summing Up 13. War-Laden Scenarios of the Past: Uncovering a Heap of Faulty Assumptions Making the Implicit Explicit The Patrilineal-Patrilocal Assumption The Assumption of the Tight-Knit, Bounded Group The Assumption of Pervasively Hostile Interband Relations 14. More Faulty Assumptions The Assumption of Warring over Scarce Resources The Assumption of Warring over Land The Assumption of Warring over Women The Assumption of Leadership Summing Up 15. Much Ado about the Yanomamoe The Famous Yanomamoe Unokais Broader Issues Methodological and Analytical Issues: Questioning the Obvious The Heart of the Matter Why So Much Ado? 16. Windows to the Past: Conflict Management Case Studies Siriono Montagnais-Naskapi Paliyan Netsilik Inuit Ju/'hoansi Lessons from the Case Studies 17. Untangling War from Interpersonal Aggression Natural Selection Natural Environments and the EEA Concept Flexible Adapatations, Sexual Selection, and Sex Differences in Aggression The Costs and Benefits of Aggression to Individual Fitness Inclusive Fitness 18. An Alternative Evolutionary Perspective: The Nomadic Forager Model Human Hawks, Doves, and Retaliators Costs and Benefits of Aggression Restraint Inclusive Fitness Assessing the Overall Patterns and Recurring Themes Warring as an Adaption? The Twin Problems of Confusing Function with Effect and Aggression with Warfare Conclusions 19. Weighing the Evidence 20. Enhancing Peace A Macroscopic Perspective: The Human Capacity to Move beyond War Specific Insights for Keeping the Peace Conclusions Appendix: Organizations to Contact: Notes: References: Index:
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.026 |
| Scholarly communication | 0.007 | 0.012 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.016 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".