Bibliographic record
Abstract
Lead Reviewer: Dr. Daniel Coetzee, Independent Scholar, London, UK Review Board: Jeremy Black, University of Exeter, UK Dr. Frances F. Berdan, Professor of Anthropology, California State University, San Bernardino David A. Graff, Associate Professor, Department of History, Kansas State University Dr. Kevin Jones, University College London Dr. John Laband, Wilfrid Laurier University, Waterloo, Ontario, Canada Dr. Carter Malkasian, Center for Naval Analysis Mr. Toby McLeod, Lecturer in Modern History, University of Birmingham, UK Dr. Tim Moreman, Independent Scholar, London, UK Professor Bill Nasson, Department of Historical Studies, University of Cape Town, South Africa Dr. David Nicolle, Honourary Research Fellow, Nottingham University, UK Dr. Kaushik Roy, Lecturer, Department of History, Presidency College, Kolkata, India Dennis Showalter, Professor of History, Colorado College Dr. Stephen Turnbull, Lecturer in Japanese Religious Studies, Department of Theology and Religious Studies, Leeds University, UK Professor Michael Whitby, Professor of Classics and Ancient History, University of Warwick, UK Over 8,500 battles and sieges are covered-easily the most exhaustive reference source on this basic aspect of military history. Thoroughly vetted by an expert board of period and regional experts, this dictionary offers easy to find A-Z entries that cover conflicts from practically every era and place of human history. In addition to exhaustive coverage of World War II, World War I, the American Civil War, medieval wars, and conflicts during the classical era, this dictionary covers battles fought in pre-modern Africa, the Middle East, Ancient and Medieval India, China, and Japan, and early meso-American warfare as well. Going well beyond the typical greatest or most influential battle format, The Dictionary of Battles and Sieges offers readers information they would be hard-pressed to find anywhere else. Entries were reviewed by area and period experts to ensure accuracy and to provide the broadest coverage possible. Jaques's Dictionary is truly global in scope, covering East Asia, South Asia, Eurasia, Europe, Africa, Mesoamerica, and North and South America. Battles from wars great and small are in the dictionary, including battles from this very brief sampling of wars covered, listed to give an idea of the book's deep coverage: Egyptian-Syrian Wars (1468 BC); the Assyrian Wars (724 - 648 BC); Greco-Persian Wars (498 - 450 BC); the Conquests of Alexander the Great (335-326 BC); Rome's Gallic Wars (121-52 BC); Han Imperial Wars (208); Hun-Ostrogoth Wars (454-68); Sino-Vietnamese Wars (547-605); Mecca-Medina War (624-30); Jinshin War (672); Berber Rebellion (740-61); Viking Raids on, and in, Britain (793-954); Sino-Annamese War (938); Byzantine Military Rebellions (978-89); Afghan Wars of Succession (998-1041); Russian Dynastic Wars (1016-94); Reconquista (1063-1492); Crusader-Muslim Wars (1100- 1179); Swedish Wars of Succession (1160-1210); Conquests of Genghis Khan (1202-27); William Wallace Revolt (1297-1304); Hundred Years War (1337-1453); War of Chioggia (1378-80); Vijayanagar-Bahmani Wars (1367-1406); Ottoman Civil Wars (1413-81); Mongol-Uzbek Wars (1497-1512); German Knights' War (1523); Burmese-Laotian Wars (1574); Cambodian-Spanish War (1599); King Philip's War (1675-77); Franco-Barbary Wars (1728); Bengal War (1763-65); French Revolutionary Wars (1792-1801); Chilean War of Independence (1813-26); Boer-Zulu War (1838); Indian Mutiny (1858-59); Mexican-French War (1862-67); Sino-Japanese War (1894-95); World War I (1914-18); Anhwei-Chihli War (1920); World War II (1939-45) Mau Mau Revolt (1955); 2nd Indo-Pakistani War (1965); Angolan War (1987-88); 2nd Gulf War (2003- ).
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.056 | 0.019 |
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".