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Imagining Shakespeare’s Audience

2018· reference-entry· en· W2965155987 on OpenAlexaff
Jeremy López

Bibliographic record

Venuenot available
Typereference-entry
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLaughterComedyWonderArgument (complex analysis)Resistance (ecology)AestheticsAudience responseAudience analysisTarget audienceBridge (graph theory)LiteratureArtMedia studiesSociologyPsychologyAdvertisingSocial psychologyComputer scienceSocial science

Abstract

fetched live from OpenAlex

In this essay I focus on some discrete instances and problems of laughter in order to define the total experience of Shakespearean comedy, and to make two arguments about ‘Shakespeare’s audience’, that is, both the audience he could have imagined and the audience he could not. The first argument is that Shakespeare’s comedies ask an audience—any audience—to reflect upon itself: to wonder, and often to worry, whether it is the audience that the playwright has imagined. The urge to laugh, or the resistance to laughter arises from a desire to repair a misalignment between what the play demands and what the audience can comprehend. The second argument is that for the audiences Shakespeare could not have imagined—especially the audiences of today—both the self-reflection and the urge or resistance to laughter derive from a desire to bridge the ever widening gap between present and past.

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)0.005
metaresearch head score (Gemma)0.008
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 score0.013
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0130.036
Scholarly communication0.0120.011
Open science0.0010.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0060.001

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 head0.061
GPT teacher head0.265
Teacher spread0.204 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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