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Record W2904738331 · doi:10.1093/res/hgy098

The Fortunes of Fame in <i>Much Ado About Nothing</i>

2018· article· en· W2904738331 on OpenAlexfundno aff
Sean D. Geddes

Bibliographic record

VenueThe Review of English Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicAmerican Sports and Literature
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNothingTopos theoryHERORomanceLiteratureRealismSection (typography)Character (mathematics)ScholarshipPhilosophyIdentity (music)CriticismArtAestheticsLawEpistemology

Abstract

fetched live from OpenAlex

When in Much Ado About Nothing Benedick says that he has ‘played the part of Lady Fame’, he names a figure of the literary topos of fama not yet properly identified in the scholarship. This essay focuses on that topos as it lives on in the play and is transformed by it, arguing that while criticism has emphasized fame’s destructive side in Much Ado, it is also life giving. A first section recalls Shakespeare’s familiarity with the tradition, and reviews its classical roots. Section two then traces the ramifications of a late-medieval and early-Renaissance personification of Fame, sourcing it in the play to Chaucer rather than Vergil: a Fame akin to Fortune, and one suitable for the play’s courtly milieu. The third section investigates Shakespeare’s use of this broader, less-sinister and Fortune-like conception of fame as it contributes to the construction of character and to the play’s celebrated realism. The concluding section argues that out of this realism grows the romance of the play’s final scenes, where Shakespeare expands the register of fame to equate it with new life and transformed identity in the restoration of Hero.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.745
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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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