MétaCan
Menu
Back to cohort
Record W1939796048 · doi:10.1111/lic3.12136

Shakespeare's Linguistic Creativity: A Reappraisal

2014· article· en· W1939796048 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.

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

Bibliographic record

VenueLiterature Compass · 2014
Typearticle
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of WaterlooSt. Jerome's University
Fundersnot available
KeywordsCreativityGeniusLinguisticsLiteratureVocabularyLexiconScholarshipPsychologyArtAestheticsPhilosophySocial psychology

Abstract

fetched live from OpenAlex

Abstract Shakespeare occupies a rarefied place in the popular imagination. In particular, he is widely celebrated for his creativity with language, and he tends to be portrayed as a singular genius with an inimitable vocabulary and an astounding gift for word invention. Yet as recent scholarship has shown, Shakespeare's language was in fact remarkably average; rather than standing as a shining exception, Shakespeare had a lexicon and a word‐invention rate in keeping with those of his contemporaries. However, Shakespeare's “ordinariness” does not mean that he was not linguistically creative. This essay focuses on Shakespeare's brilliant but subtle manipulation of the existing resources of his language. Shakespeare has an uncanny ability to render common words fresh, and to exploit the unique features of the English of his day, so that even the most ordinary language is transformed into something resonant. Revising Shakespeare's reputation as linguistic innovator means acknowledging his more understated language skills and ultimately allows for a more complete understanding, and fuller appreciation, of his work.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.908
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.310
Teacher spread0.293 · 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