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Record W649256050

Beowulf and beyond

2007· book· en· W649256050 on OpenAlexaboutno aff
Hans Sauer, Renate Bauer

Bibliographic record

VenuePeter Lang eBooks · 2007
Typebook
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsMiddle EnglishOld EnglishOld NorseRhymeGermanGlossaryHistoryPoetryLiteratureLinguisticsClassicsGermanic languagesSelection (genetic algorithm)Medieval literatureMiddle AgesMedieval studiesArtPhilosophyComputer scienceAncient history
DOInot available

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.102

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0050.005
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.007

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.

Opus teacher head0.018
GPT teacher head0.218
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2007
Admission routes1
Has abstractyes

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