MétaCan
Menu
Back to cohort
Record W4362575674 · doi:10.3138/md-66-1-1251

Shattering Normalcy: Disability and Queerness in Tennessee Williams’s <i>One Arm</i>

2023· article· en· W4362575674 on OpenAlexvenueno aff
Duygu Beste Başer Özcan

Bibliographic record

VenueModern Drama · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsOppressionQueerNormativeGender studiesDisability studiesSociologyHybridityAestheticsPsychoanalysisPsychologyArtPoliticsLawPolitical scienceAnthropology

Abstract

fetched live from OpenAlex

In addition to his extensive body of dramatic work, Tennessee Williams also wrote several screenplays that are inseparable from his oeuvre in terms of both content and form. His plays and screenplays – which Williams himself referred to as “film plays,” indicating their hybridity – are sites where the playwright explores aesthetic possibilities that blur the line between stage and screen. Exploring similar themes, such as the oppression and suffering of women, disabled people, and queer individuals, Williams’s film plays also demonstrate his desire for new aesthetic formulations. This article analyses Tennessee Williams’s unfilmed film play One Arm (published in 1984) as a major but neglected moment in his dramatic exploration of disability and the non-normative body. As in his other writing, Williams shows in One Arm that heteronormative and ableist norms can push individuals to the edges of society by stigmatizing and pathologizing their identities. By depicting their social and cultural transgressions, Williams celebrates allegedly excessive and deviant behaviour as well as “abnormal” bodies. The article further argues that in One Arm, Williams calls attention to the importance of creating a sense of community among disabled and queer subjects for a livable crip/queer future, and he calls for allyship among these communities to overcome oppression.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.401
Threshold uncertainty score0.558

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.068
GPT teacher head0.287
Teacher spread0.219 · 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 designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueModern DramaSame topicCultural Studies and Interdisciplinary ResearchFrench-language works237,207