Bibliographic record
Abstract
First full-scale account of the use of the Arthurian legend in the long twelfth century. The precedent of empire and the promise of return lay at the heart of King Arthur's appeal in the Middle Ages. Both ideas found fullness of expression in the twelfth century: monarchs and magnates sought to recreate an Arthurian golden age that was as wondrous as the biblical and classical worlds, but less remote. Arthurianism, the practice of invoking and emulating the legendary Arthur of post-Roman Britain, was thus an instance of medieval medievalism. This book provides a comprehensive history of the first 150 years of Arthurianism, from its beginnings under Henry II of England to a highpoint under Edward I. It contends that the Plantagenet kings of England mockingly ascribed a literal understanding of the myth of King Arthur's return to the Brittonic Celts whilst adopting for themselves a figurative and typological interpretation of the myth. A central figure in this work is Arthur of Brittany (1187-1203), who, for more than a generation, was the focus of Arthurian hopes and their disappointment. CHRISTOPHER MICHAEL BERARD is a Visiting Assistant Professor of English at Providence College. He completed his PhDat the University of Toronto's Centre for Medieval Studies.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".