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Record W2147376360 · doi:10.3138/md.43.3.421

<i>Oleanna </i>and <i>The Children's Hour: </i>Misreading Sexuality on the Post/Modern Realistic Stage

2000· article· en· W2147376360 on OpenAlexvenueno aff
David Kennedy Saur

Bibliographic record

VenueModern Drama · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicPostmodernism in Literature and Education
Canadian institutionsnot available
Fundersnot available
KeywordsObjectivity (philosophy)CLARITYHuman sexualityAmbivalenceFalse accusationPerceptionRealismPsychologyAestheticsSociologyEpistemologySocial psychologyGender studiesPhilosophy

Abstract

fetched live from OpenAlex

Lillian Hellman's The Children's Hour (1934) and David Mamet's Oleanna (1992) confront similar problems: both deal with difficult-to-verify sexual accusations, and both were consequently banned or protested when first staged. Both are written by Jewish playwrights who moved easily back and forth between stage and film and who directed their own productions. Both are set in schools, but the line between home and school is blurred; both deal with female students and with accusations against teachers; both deal with sexual accusations, which by definition are murky and matters of perception. Yet both employ the conventions of realism, which require that the hidden secrets be revealed by the end of the play. So, from the outset, the clarity of the realistic form is potentially at odds with the sexually ambivalent content. As a result, critical response is deeply divided over these plays, producing particularly vituperative attacks on both playwrights. More importantly, however, the two playwrights are deeply linked by the common approach of attacking the objectivity of the audiences who make judgments on their plays. Both problematize the possibility of making objective judgments and thereby question the very foundation of the realistic conventions that they seem to espouse.

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)0.003
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.016
Scholarly communication0.0060.004
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.019
GPT teacher head0.233
Teacher spread0.214 · 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

Citations4
Published2000
Admission routes1
Has abstractyes

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