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Record W4413821505 · doi:10.1093/notesj/gjaf083

The Old English Noun * <i>gewændung</i>

2025· article· mr· W4413821505 on OpenAlexaff
Elena Afros

Bibliographic record

VenueNotes and Queries · 2025
Typearticle
Languagemr
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsSt. Jerome's University
Fundersnot available
KeywordsNounLinguisticsHistoryPhilosophyArt

Abstract

fetched live from OpenAlex

In the analysis of the Alkmaar fragments of the N-Psalter (xi), Porck draws attention to the second interpretamentum of the double gloss styrunge ł gewændunga rendering the Latin lemma commotionem (< commotio ‘a moving, motion’) in psalm 43:15.1 Porck points out that the use of gewændunga is uncharacteristic of the N-Psalter for two reasons: first, this interpretamentum is not found in any of the D-type glosses, with which the fragments of the N-Psalter generally agree; and second, the noun *gewændung is the only lexeme in the N-Psalter glosses not recorded in the DOEC.2 The present note addresses these issues from the perspectives of phraseology and translation technique. It suggests that the nonce formation *gewændung is a loan translation added to the D-type gloss styrung ‘motion’ to provide a more idiomatic rendition and elucidate the meaning and structure of the Latin lemma. In psalm 43:15, styrunge ł gewændunga collocates with the noun heafdes (< heafod ‘head’) forming an expression ‘shaking of the head’, which signifies a gesture of disapproval, condemnation, sorrow, reproach, or scorn. The DOE states that this expression is found in two other psalms—21:8 and 108:25 (both of which are missing from the fragments of the N-Psalter)—as well as ÆLS (Agatha), ÆLet 4, HomS 18, Matthew 27:39, and Mark 15:29. The verbs with which the noun ‘head’ collocates in this sense are: cweccan, cyrran, hreran, hrisian, styrian, wecgan, and onwendan.3 The verb cweccan ‘to shake’ is used by Ælfric and the translators of the Old English Gospels. The Lambeth Psalter shows cweccan in 21:8 and its derivative cweccung ‘shaking’ in 43:15. cweccan occurs in a double gloss with hrisian ‘to shake’ in 108:25 in both the Lambeth and Vitellius Psalters. The verb cyrran ‘to turn’ occurs only in the Lindisfarne Gospels and Rushworth Two; in the former, it is combined with hreran ‘to move, stir, shake’ in a double gloss in Matthew 27:39. The verb wecgan ‘to wag’ is used both in the prose and metrical psalms of the Paris Psalter; in the metrical psalms, it co-occurs with hreran, the latter probably motivated by alliteration (sona hig wegdan, hrerdan heora heafod; 108:25).4 The verb hreran is always paired with other verbs in this context. Besides the instances cited above, it is also found in Rushworth One in Matthew 27:39 in a double gloss hroerend ł styredun (< styrian ‘to move’). The verb hrisian is used in HomS 18 and most psalter glosses in psalms 21:8 and 108:25. The very few exceptions are: the Lambeth Psalter mentioned above; the Eadwine Psalter, which combines hrisian with wecgan in a double gloss in 21:8 and uses wendan in 108:25; and the Arundel Psalter, which exhibits onwendan ‘to turn’ in 21:8. In 43:15, the D-type psalter glosses (DFGHJK) display the noun styrung/styring/stirung ‘motion’ whereas the A-type psalter glosses (ABC) show the noun *onwendnis/onwendnes/ondwendnys ‘turning, movement’ (for the Lambeth Psalter, see above), which, according to the DOEC, is a nonce formation. The Eadwine Psalter employs a double gloss æwendnesse ł styringe (the second interpretamentum added by corrector), which combines A- and D-type choices.5

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)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0030.003
Scholarly communication0.0050.006
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0620.023

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 head0.008
GPT teacher head0.218
Teacher spread0.210 · 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".

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Citations0
Published2025
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