Bibliographic record
Abstract
Beowulf and Beyond is a collection of papers mainly on Medieval English (i.e. Old and Middle English) language, literature and culture, often using comparative and interdisciplinary approaches. It features major authors and texts such as Beowulf, Chaucer, the Wyclif Bible, Margery Kempe, and Malory, but also the poem Judgement Day II, the Epinal-Erfurt glossary (ca. 680), and the Assize of bread (1256), a legal document. The more linguistically oriented studies deal with the language of Old English and Old Norse runic inscriptions, with OE word-formation (verbs with prefixed adverbs such as oferfaran; words for people), the loss of final plosive consonants in late Middle English rhyme-words, the use of hyphens in ME, and a comparison between Medieval English and German. Some contributions are specifically concerned with teaching Medieval texts to today's students (Beowulf, Malory). The volume is also a document of the activities of IAUPE, the International Association of University Professors of English. It contains a selection of the papers that were originally presented at the IAUPE Medieval Symposia at Munich/Germany and Vancouver/Canada.
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 | 0.000 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.007 |
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".