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Record W2916092859 · doi:10.26522/brocked.v28i1.782

Shakespearean Pedagogy and Copious Paradox: How Might we Queer Shakespeare’s Work?

2018· article· en· W2916092859 on OpenAlexaffvenue
Sky Gilbert

Bibliographic record

VenueBrock Education Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsQueerHuman sexualityVariety (cybernetics)Rhetorical questionRhetoricLiteratureSociologyContext (archaeology)Opposition (politics)SubversionScrutinyAestheticsGender studiesArtPhilosophyHistoryLinguisticsLawPolitics

Abstract

fetched live from OpenAlex

Despite opposition to ‘queering the text’ by established Shakespeare critics, this essay sets out to ponder the possibility of teaching Shakespeare in a queer context. The essay begins by examining the social and sexual conditions of the early modern period, making the observation that there were a wide variety of sexualities, moral attitudes, and sexual practices at that time, and that often the early modern moral codes of conduct contradicted each other. It then traces the significance of the rhetorical device of paradox through Lyly and Castiglione, and examines the method of Elizabethan rhetoric, which involved ‘copia’ (the elaboration of one idea into a variety of ideas through language) and its associated variety of meanings. The essay then turns to the text of Shakespeare’s Venus and Adonis, observing that its subject matter—the love of an older woman for a younger man—may have reflected the early modern heterosexual fear of women’s sexuality—and continues to baffle male critics today. Finally, turning to the poem itself—analyzing it in terms of ‘copia’ and paradox—the conclusion suggests that perhaps there was a relationship between Shakespeare’s use of these rhetorical techniques and the sexuality of his time.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.041
Scholarly communication0.0080.009
Open science0.0010.003
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.037
GPT teacher head0.347
Teacher spread0.310 · 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 designTheoretical or conceptual
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
Published2018
Admission routes2
Has abstractyes

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