Bibliographic record
Abstract
Books reviewed: R. McKitterick (ed.), The Early Middle Ages 400–1000 Bernhard Jussen (ed.), Ordering Medieval Society: Perspectives on Intellectual and Practical Modes ofShaping Social Relations Patricia Skinner, Women in Medieval Italian Society 500–1200 Noël James Menuge (ed.), Medieval Women and the Law A. D. M. Barrell, Medieval Scotland David A. Warnerll, Ottonian Germany. The Chronicon of Thietmar of Merseburg G. A. Loud, The Age of Robert Guiscard. Southern Italy and the Norman Conquest Jean Flori, La guerre sainte. La formation de l’idée de croisade dans l’Occident chrétien Michel Balard, Benjamin Z. Kedar and Jonathan Riley‐Smith (ed.), Dei gesta per Francos: Études sur les croisades dédiées à Jean Richard. Crusade Studies in Honour of Jean Richard Nora Berend, At the Gate of Christendom. Jews, Muslims and ‘Pagans’ in Medieval Hungary, c.1000–c.1300 David M. Smith (ed.), The Acta of Hugh of Wells Bishop of Lincoln 1209–1235 Sandra Raban, England under Edward I and Edward II, 1259–1327 Clifford J. Rogers, War Cruel and Sharp: English Strategy under Edward III, 1327–1360 Kenneth Fowler, Medieval Mercenaries. Volume I: The Great Companies Anne Curryll, The Battle of Agincourt: Sources and Interpretations John Goodall, God’s House at Ewelme. Life, Devotion and Architecture in a Fifteenth‐CenturyAlmshouse Richard K. Marshall, The Local Merchants of Prato: Small Entrepreneurs in the Late MedievalEconomy Peter Fleming, Family and Household in Medieval England Peter Northeast, Wills of the Archdeaconry of Sudbury, 1439–1474: Part I, 1439–1461
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.286 | 0.119 |
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".