Literary Terrains and Textual Landscapes: The Importance of the Anglo-Saxon Past in Late-Medieval Winchester
Bibliographic record
Abstract
As the point of origin, both real and imagined, of English law and group identity, the Anglo-Saxon past was important in the construction of a post-Conquest English society that was both aware of, and placed great stock in, its Anglo-Saxon heritage; yet its depiction in post-Conquest literature has been very little studied. This book examines a wide range of sources (legal and historiographical as well as literary) in order to reveal a 'social construction' of Anglo-Saxon England that held a significant place in the literary and cultural imagination of the post-Conquest English. Using a variety of texts, but the Matter of England romances in particular, the author argues that they show a continued interest in the Anglo-Saxon past, from the localised East Sussex legend of King Alfred that underlies the twelfth-century 'Proverbs of Alfred', to the institutional interest in the 'Guy of Warwick' narrative exhibited by the community of St. Swithun's Priory in Winchester during the fifteenth century; they are part of a continued cultural remembrance that encompasses chronicles, folk memories, and literature. Dr ROBERT ALLLEN ROUSE teaches in the Department of English, University of British Columbia.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.021 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".