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Dumb show

2017· book-chapter· en· W4249062927 on OpenAlexaff
Jeremy López

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook-chapter
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDramaLiteratureArtCONTESTHAMLET (protein complex)Presentational and representational actingSemioticsAestheticsPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Abstract This chapter examines the theatrical experience provided by early modern dumb shows and the critical tradition that has emerged around them. It argues that dumb shows are a threshold between drama and theatricality, and that they vividly represent not only the contest between text and performance for authority over theatrical meaning, but also the tendency of each to displace this authority onto the other. In the canon of early modern theatre and in the modern critical tradition, dumb shows are often a sign of a derivative theatricality directed at a merely popular audience. In the dumb show, there is an especially complex and self-conscious encounter between word and action, diegesis and mimesis, presentational vehicles and represented fiction. As a moment of extraordinary semiotic density and redundancy, the dumb show was at once too readerly for the stage and too spectacular for the printed book. The chapter also considers ‘Hamlet’s advice to the players’ and its implications for approaches and responses to the dumb show.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.297
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2970.054

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 head0.048
GPT teacher head0.190
Teacher spread0.142 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

Explore more

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