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Record W2498982745 · doi:10.1017/ccol0521770440.010

Language and comedy

2001· book-chapter· en· W2498982745 on OpenAlexaff
Lynne Magnusson

Bibliographic record

VenueCambridge University Press eBooks · 2001
Typebook-chapter
Languageen
FieldPsychology
TopicLanguage, Metaphor, and Cognition
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLaughterComicsComedyRhetoricLinguisticsFocus (optics)Context (archaeology)LiteratureSociologyHistoryArtPhilosophy

Abstract

fetched live from OpenAlex

Both the linguistic detail and the cultural ramifications of Shakespeare's comic language are extremely complex. In order to elucidate them, what I propose to do is focus on four interrelated themes, illustrating each one by reference to one or two particular plays: rhetoric and society in Love's Labor's Lost ; logic and laughter in As You Like It ; gender and language in Measure for Measure and As You Like It ; and context and quotation in Twelfth Night . Rhetoric and society A chief resource for the language of Shakespeare’s comedies and a source of the ideas about language debated in them is the art of rhetoric. Elizabethan rhetoric has often been associated almost exclusively with stylistic ornamentation and obscure names for figures of speech, but for the Elizabethans much more was at stake in their adaptation of this ancient art of persuasion to social and literary uses of the English tongue. An ideal of eloquence and its constitutive power for social organization was key.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.012
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.003

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 head0.233
Teacher spread0.212 · 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
GenreOther

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

Citations21
Published2001
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicLanguage, Metaphor, and CognitionFrench-language works237,207