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Record W2033667214 · doi:10.3138/md.53.3.297

Gossip Girls: Lady Teazle, Nora Helmer, and Invisible-Hand Drama

2010· article· en· W2033667214 on OpenAlexvenueno aff
Joseph Roach

Bibliographic record

VenueModern Drama · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsGossipDramaBourgeoisiePeriod (music)Order (exchange)LiteratureValue (mathematics)ArtSubject (documents)AestheticsSociologyHistoryPsychologyLawSocial psychologyComputer sciencePolitical scienceEconomics

Abstract

fetched live from OpenAlex

Sheridan and Ibsen look less odd together as a couple when The School for Scandal (1777) and A Doll House (1879) are read as dramatizations of the social consequences of two circulatory systems that accelerate as they intersect in modern life – information and money. Regulated by Adam Smith's “invisible hand,” these negotiable currencies define the choices open to the blackmailed heroines of each play, producing situations that reappear in many subsequent representations of bourgeois domesticity, including but not ending with I Love Lucy (1951–57). As the historical emergence of the word “credit” implies, the period conventionally assigned to modern drama needs to be revised to accommodate the overwhelming fact that money, so often the subject of gossip, also behaves like gossip, changing hands in the form of fictional markers of value in which modern subjects must agree to believe in order to prosper.

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)0.001
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 score0.010
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0100.012
Scholarly communication0.0050.004
Open science0.0000.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0080.001

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 head0.041
GPT teacher head0.283
Teacher spread0.242 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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