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Record W2797250296 · doi:10.1007/s40607-018-0043-0

From traditional to electronic lexicography

2018· article· en· W2797250296 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLexicography · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
FundersU.S. Department of Energy
KeywordsLexicographyLinguisticsPerspective (graphical)HistoryVowelComputer scienceClassicsArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

The aim of this article is to review the standard dictionaries of Old English from the perspective of the evolution from traditional lexicography to electronic lexicography and to fnd the similarities and diferences, together with their pros and cons. The ultimate purpose is to fnd which of these four dictionaries is more suitable for linguistic research in Old English for scholars in the feld. An Anglo-Saxon Dictionary (Bosworth and Toller in Oxford University Press, Oxford, 1973), The Student’s Dictionary of Anglo-Saxon (Sweet in Cambridge University Press, Cambridge, 1976), A Concise Anglo-Saxon Dictionary (Hall in University of Toronto Press, Toronto, 1996) and The Dictionary of Old English in Electronic Form A–G (Healey et al. in Dictionary of Old English Project, Centre for Medieval Studies, University of Toronto, Toronto, 2008) are examined with respect to headwords, alternative spellings and cross-references, vowel quantity and textual evidence.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.777
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.001

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 head0.033
GPT teacher head0.228
Teacher spread0.196 · 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