Bibliographic record
Abstract
This collection of twenty-nine papers is in honour of E. G. Stanley, Rawlinson and Bosworth Emeritus Professor of Anglo-Saxon at the University of Oxford and Emeritus Fellow of Pembroke College, Oxford. Written by scholars he has supervised, examined or otherwise served as mentor for within the last twenty years, the contributors illustrate the advantages of following John Donne's axiom to 'doubt wisely'. Professor Stanley's own published work has shown the utility of wise scepticism as a critical stance; these papers presented to him apply similar approaches to a wide variety of texts, most of them in the field of Old or Middle English literature. The primary focus of the collection is on the close reading of words in their immediate context, which commonly entails a reconsideration of accepted assumptions. Consequently, new links are created here among the disciplines in medieval studies, based on various combinations of these scholarly applications. Contributors provide new analyses of such difficult but rewarding fields as Old English metre and syntax, Beowulf, the origins and development of standard English, the definitions of Old English words and their connotations, the styles and themes of Old English poems, Middle English poetry and prose, the post-medieval reception of medieval works and the styles, themes and sources of Old English poetry and prose. M.J. Toswell is Associate Professor of English at the University of Western Ontario.E.M. Tyler is Lecturer in the Department of English and Related Literature at the Centre for Medieval Studies, University of York.
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 | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.010 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".