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Record W2130337997 · doi:10.3138/md.0558

“The Great Imitator”: Staging Syphilis in <i>A Doll House</i> and <i>Ghosts</i>

2013· article· en· W2130337997 on OpenAlexvenueno aff
Alexis Soloski

Bibliographic record

VenueModern Drama · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsSyphilisConservatismConfusionReading (process)Close readingAestheticsHistoryPsychoanalysisLiteraturePsychologyMedicineArtLawPolitical scienceImmunologyPoliticsHuman immunodeficiency virus (HIV)

Abstract

fetched live from OpenAlex

While critical attention has focused on Henrik Ibsen’s Ghosts and its controversial reception at its various European premieres, little attention has been paid to Ibsen’s use of syphilis or to the challenge that Ghosts and A Doll House pose for late-nineteenth-century theories of venereal disease. Reading these plays against contemporary medical literature, this essay argues that, rather than settling for a comforting conservatism (those who acquire syphilis have somehow deserved it), Ibsen, instead, condemns the constraining social practices that have led to its spread. By exploiting syphilis’s symptomatic confusion – it can imitate a host of other diseases – and introducing an aetiological conundrum, Ibsen does not condemn a sole person or a single circumstance but, instead, implicates a myriad of restrictive beliefs and customs; not least, the deleterious and condemnatory assumptions surrounding the disease itself. He may even intend Ghosts to function prophylactically. Far from desiring to contaminate spectators, Ibsen stages syphilis in order to protect audiences from more harmful societal ills.

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)0.000
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.035
GPT teacher head0.251
Teacher spread0.216 · 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
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
Published2013
Admission routes1
Has abstractyes

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