Bibliographic record
Abstract
"Midlarsky has done it again, another state-of-the art handbook on the most recent developments in the study of war. This volume is entirely new with a focus on internal war. It is a 'must-read' for scholars and students of conflict. Even the most knowledgeable will learn a great deal from the book." ---John A. Vasquez, Thomas B. Mackie Scholar in International Relations, University of Illinois at Urbana-Champaign "Handbook of War Studies III is a tour de force. This is a compelling and comprehensive work of scholarship. Midlarsky, as with previous volumes, has assembled an 'all star' team from the interdisciplinary field of conflict processes. In response to trends in place over the last few decades, this third volume rightly focuses on the intrastate dimension of international conflict. The volume includes lucid presentations on rational choice and political psychology as alternative visions, along with convincing treatments of civil war, ethnic conflict, genocide, and related issues. This book will be required reading for anyone with an interest in conflict processes." ---Patrick James, Director, Center for International Studies, University of Southern California "This third volume of the Handbook is a very welcome addition with its focus on intrastate conflict. Scholarship on internal conflict has proliferated over the past decade, and therefore it is time to take stock of the work that has been done and to point out directions for future research. In this volume a team of leading scholars do just that as they provide trenchant assessments of what has been accomplished and what are the remaining big questions that require further research. This volume will be indispensable to students and scholars alike." ---Paul Huth, Editor, Journal of Conflict Resolution, and Professor of Government and Politics, University of Maryland, College Park Handbook of War Studies III is a follow-up to Handbook of War Studies I (1993) and II (2000). This new volume collects original work from leading international relations scholars on domestic strife, ethnic conflict, genocide, and other timely topics. Special attention is given to civil war, which has become one of the dominant forms---if not the dominant form---of conflict in the world today. Contributors: Bruce Bueno de Mesquita , New York University, and Hoover Institution, Stanford University Nils Petter Gleditsch , International Peace Research Institute, Oslo (PRIO), and Norwegian University of Science and Technology (NTNU), Trondheim Håvard Hegre , University of Oslo, and International Peace Research Institute, Oslo (PRIO) Erin K. Jenne , Central European University, Budapest Mark Irving Lichbach , University of Maryland Roy Licklider , Rutgers University, New Brunswick T. David Mason , University of North Texas Rose McDermott , Cornell University Stephen Saideman , McGill University Håvard Strand , International Peace Research Institute, Oslo (PRIO) Monica Duffy Toft , Harvard University Manus I. Midlarsky is the Moses and Annuta Back Professor of International Peace and Conflict Resolution at Rutgers University, New Brunswick. He is the founding past president of the Conflict Processes Section of the American Political Science Association and a past vice president of the International Studies Association. Cover photograph © Matthew Rambo / iStockphoto.com
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.113 | 0.070 |
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".