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Record W7015433593

Shaw's "Shakespear": The Influence of William Shakespeare on Bernard Shaw's Dramaturgy

2006· article· en· W7015433593 on OpenAlexfundno aff

Bibliographic record

VenueOhioLink ETD Center (Ohio Library and Information Network) · 2006
Typearticle
Languageen
FieldMedicine
TopicLiterature Analysis and Criticism
Canadian institutionsnot available
FundersUniversity of TorontoStrongOhio State University
KeywordsDramaturgyDramaGloomCriticism
DOInot available

Abstract

fetched live from OpenAlex

George Bernard Shaw (1856 -1950) had a lifelong fascination with William Shakespeare (1564 -1616).First as a student and critic, and then as a playwright, Shaw saw in Shakespeare both a dramatic idol and teacher -and a competing rival to be challenged, and overcome.This feeling that Shakespeare was an opponent to be defeated is made most explicit in the miniature play Shaw originally intended to be his final dramatic statement, at the end of his professional life: Shakes Versus Shav (1949), a novelty marionette play, in which puppet figures of Shaw and Shakespeare literally fight, or spar, comparing their dramatic achievements, with puppets representing and quoting some of their iconic characters.The onstage fight is warm-hearted, the competition good-natured, and the respect mutual, between the two playwrights.Of course -Shaw himself wrote this text, and so was able to manipulate this brotherhood, according to his own needs, and assert his ownership of the competition on his own terms.Shaw's pleas, in that and many other plays, to Shakespeare to clear out of the way and allow his own body of work to have its due credit, without suffering under Shakespeare's shadow, is the critical problem I am exploring, following his earlier boast of having taught Shakespeare's characters some reason, to go with their deep feeling.This chronological suspension and confusion illustrates a paradoxical attitude towards his dramatic predecessor -simultaneously resenting and revering him -that colored Shaw's I wish to thank my adviser, Sebastian D. G. Knowles, for his intellectual support, encouragement, enthusiasm, and good humor which made this dissertation possible, and for his patience in correcting both my stylistic and theoretical errors.

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)0.007
metaresearch head score (Gemma)0.014
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: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0220.035
Scholarly communication0.0080.003
Open science0.0010.004
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.005
GPT teacher head0.201
Teacher spread0.196 · 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
GenreEmpirical

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
Published2006
Admission routes1
Has abstractyes

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Same venueOhioLink ETD Center (Ohio Library and Information Network)Same topicLiterature Analysis and CriticismFrench-language works237,207