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Record W3083565174 · doi:10.1093/ijl/ecaa015

‘Alien’ vs. Editor: World English in the<i>Oxford English Dictionary</i>, Policies, Practices, and Outcomes 1884–2020

2020· article· en· W3083565174 on OpenAlex
David‐Antoine Williams

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Lexicography · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsUniversity of WaterlooSt. Jerome's University
Fundersnot available
KeywordsLexicographySection (typography)LinguisticsVocabularyAlienState (computer science)HistoryComputer scienceEnglish languageArtificial intelligencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract This article discusses the changing ways in which the Oxford English Dictionary has recorded the vocabularies of ‘World English’—English as spoken outside of the British Isles—from the first to the present edition. Based on direct analyses of the coded text of multiple editions, it documents and compares the practices of successive editors, taking into account various contextual factors, such as editorial principles and policies, institutional resources, and historical language development. Significant attention is given to labelling practices, including the notorious ‘tramline’ mark of the First Edition and Second Supplement, designating ‘alien’ vocabulary; the evolution of the notion of ‘regional’ English within the dictionary; and the contributions of technology to the art of lexicography. The final section details changes in policy and methods in the current revision and expansion, evaluating both its practices vis-à-vis its predecessors, and the picture it gives us of the current state of World English.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.751
Threshold uncertainty score0.605

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.271
Teacher spread0.249 · 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