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Record W2601496057 · doi:10.3138/md.3053

Museum, Furniture, Men: The Queer Ecology of <i>I Am My Own Wife</i>

2017· article· en· W2601496057 on OpenAlexvenueno aff
Trish McTighe

Bibliographic record

VenueModern Drama · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsWifeQueerAnthropocentrismEcologyObject (grammar)LesbianSociologyWrightGender studiesArt historyHistoryPhilosophyTheologyBiology

Abstract

fetched live from OpenAlex

Doug Wright’s I Am My Own Wife attempts to stage the life of a unique trans woman, Charlotte von Mahlsdorf, who lived through Nazi occupation and Communist-era Berlin, during which time she built and maintained a beloved collection of antiques. This article will suggest that Charlotte’s queerness might be found not only in her trans status but also in her remarkable relationship with the objects of her collection. Charlotte’s privileging of the objects in her life seems to disrupt ontological hierarchies at the same time as she disrupts gender categories. Object-oriented ontology – the radically non-anthropocentric shift made visible via Charlotte’s performance – manifests as a queer ecology in the play, one with implications for how we understand the ecological place of the human in the world.

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)0.002
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 score0.081
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0270.038
Scholarly communication0.0100.005
Open science0.0010.005
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 head0.040
GPT teacher head0.258
Teacher spread0.218 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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