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Record W4283695429 · doi:10.1080/00393274.2022.2071762

The verb-initial independent declarative clauses on which the most complete witnesses to the Old English <i>Bede</i> disagree

2022· article· en· W4283695429 on OpenAlexaff
Elena Afros

Bibliographic record

VenueStudia Neophilologica · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic Variation and Morphology
Canadian institutionsSt. Jerome's University
Fundersnot available
KeywordsLinguisticsVerbSyntaxNarrativeOld EnglishStyle (visual arts)Word orderDependent clausePsychologyHistoryLiteraturePhilosophyArt

Abstract

fetched live from OpenAlex

The article examines the verb-initial independent declarative clauses with overt subjects (V1) in the Old English Bede on which the most complete witnesses disagree. It identifies the syntactic and textual environments in which the V1 clauses are altered or omitted and the types of changes they undergo. The article demonstrates that the majority of the alterations and omissions are recorded in the later manuscripts B and Ca. Most of them reflect the change to the V2 and V3 word order and the rise of the þa VS clauses in the V1 textual environments (e.g. reported discourse). Besides these widely attested developments in syntax and textual organisation, the corpus also exhibits the alterations that can be attributed to the individual scribes who modify or omit the V1 clauses to align the Old English translation with the Latin, eliminate asyndetic parataxis, homogenise the style, and streamline the narrative. The variants and scribal interventions uncovered by the present inquiry not only help form a more complete picture of the transmission and uses of the manuscripts of the Old English Bede but also contribute to the diachronic and synchronic study of the Old English language and style.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.002
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 head0.055
GPT teacher head0.323
Teacher spread0.268 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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