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Record W4206959334 · doi:10.1163/18756719-12340245

Some Distinctive Characteristics of the B Text of the Old English Bede

2022· article· en· W4206959334 on OpenAlexaff
Elena Afros

Bibliographic record

VenueAmsterdamer Beiträge zur älteren Germanistik · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Literature and History
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEleventhOld EnglishHistoryLiteraturePoint (geometry)LinguisticsArtPhilosophyMathematics

Abstract

fetched live from OpenAlex

Abstract The B text of the Old English Bede copied in the first half of the eleventh century into CCCC 41 by two scribes differs editorially, linguistically, and rhetorically from other witnesses. Although the two B scribes are generally credited with the alterations, Campbell (1951), Scragg (1990), and Waite (2014) point out that some of the distinctive traits of the B version may have originated in an anterior copy or copies. Waite (2014) also objects to the indiscriminate treatment of the work of the two B scribes as it obscures the contribution of each copyist. The present study examines seven distinctive linguistic characteristics of the B text. To determine which traits may derive from an anterior copy and which ones may be attributed to the B scribes, it compares and contrasts the Bede manuscripts and the B scribes’ practices. This inquiry not only sheds light on the methods of scribal revision but also the English of the first half of the eleventh century.

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)0.001
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.012
GPT teacher head0.196
Teacher spread0.184 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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