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Record W3157377959 · doi:10.24908/iqurcp.8706

Plague on Stage: Theatrical Depictions of AIDS and the Social Response

2016· article· en· W3157377959 on OpenAlexvenueno aff
Mark Rochford

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsnot available
Fundersnot available
KeywordsDramaMetaphorPlague (disease)Theme (computing)Body politicHistoryStyle (visual arts)AestheticsSociologyLiteratureGender studiesArtPolitical sciencePoliticsLawLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Since AIDS emerged as a health threat in North America in the 1980s, many plays have been written with this disease as central to their plotlines, several to particular critical acclaim and warm audience reception. Tony Kushner’s Angels in America is widely considered one of the theatrical masterpieces of the Twentieth Century, and Jonathan Larson’s Rent remains, more than a decade after its first run on Broadway, one of the continent’s most popular stage musicals. Recognizing that the body of AIDS plays represents a unique interaction between a specific disease and a specific art form, I investigate how the insertion of the theme of AIDS into the world of drama affected the way plays were written, and how the AIDS plays reflected and influenced popular attitudes toward the disease. For my thesis project I am in the process of surveying the portrayals of AIDS in North American plays written between 1985 and 2002, tracking variations in dramatic structure, style, staging techniques, imagery, metaphor, concurrent themes, and the characterization of persons with AIDS and medical professionals. “Plague on Stage” will address the factors that unite and define these plays beyond the thematic inclusion of AIDS, as well as the relationship between theatre and social discourse in terms of a contemporary plague, offering insights gleaned from the AIDS plays on how theatre can more effectively be used as a method of social healing.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.322
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.188
GPT teacher head0.400
Teacher spread0.212 · 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.

Study designTheoretical or conceptual
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

Citations0
Published2016
Admission routes1
Has abstractyes

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