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Record W1984002816 · doi:10.12745/et.10.2.753

Female Play-going and the Good Woman

2007· article· en· W1984002816 on OpenAlexvenueno aff
David Mann

Bibliographic record

VenueEarly Theatre · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsVirtueSympathyExtant taxonRepresentation (politics)DidacticismCharacter (mathematics)EmpathyObject (grammar)Dominance (genetics)Performing artsAestheticsLiteraturePityPsychologySociologyGender studiesArtSocial psychologyEpistemologyPhilosophyPoliticsLawPolitical science

Abstract

fetched live from OpenAlex

Is there any justification for the prevailing view that female spectators were present in large numbers at the theatres during Shakespeare’s career, and can it be said that they had any significant influence on the representation of women on the stage? One reason to doubt female influence on character representation is the pervasive male didacticism found in the 160 extant texts by his contemporaries, most often expressed through polarised stereotypical models of passive virtue and object lessons in the folly of rebellion, and to which Shakespeare to a large measure subscribes. Critics who suppose a greater measure of sympathy for the female characters, or even an unsympathetic analysis of the ‘structures of patriarchal dominance’, have failed to take adequate account of the collective endeavour of an all-male company, and in particular the nature and consequences of a late adolescent performer, more capable of empathy perhaps than a younger player, but often mockingly satirical, ultimately disengaged from the roles he played and a spokesman for the male point-of-view, employed to celebrate the rich, exciting, often dangerous possibilities of the opposite sex, but also concerned to keep women in their place.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0130.022
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0130.002

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 head0.017
GPT teacher head0.216
Teacher spread0.200 · 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

Citations5
Published2007
Admission routes1
Has abstractyes

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