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Record W6997319938

Villains, Victims & Vixens: Camp and Late 20th Century Canadian Queer Drama

2023· dissertation· en· W6997319938 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2023
Typedissertation
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQueerDramaTabooFlourishingTheme (computing)Queer theory
DOInot available

Abstract

fetched live from OpenAlex

Queer Canadian drama did not appear upon the stage in any significant way prior to the late 1960s, and even then with only tentative forays into the taboo topic of homosexuality. When gay playwrights began to write openly about gay characters and experiences, they often relied on the use of “Deliberate Camp.” By examining Susan Sontag’s 1964 essay “Notes on Camp,” and applying her ideas, and the ideas of her critics, to the emergence of queer Canadian drama, this thesis will argue that this form of queer humour and queer coding was essential to the development and flourishing of Canadian Gay Plays during the 1960s, ’70s and ’80s, discussing both Deliberate and “Naïve Camp.” The plays I explore are John Herbert’s Fortune and Men’s Eyes, Michel Tremblay’s Hosanna, and Sky Gilbert’s and Kent Staines’s Drag Queens trilogy. The former two plays feature examples of Deliberate Camp characters, but, as often occurs with the passage of time, the plays themselves have begun to be seen as Naïve Camp. The latter plays use Deliberate Camp freely to satirize and criticize the various responses to Gay Liberation and the AIDS crisis. Camp, a very successful form of queer expression in the late 20th century, will play a very different, and diminished, role in the theatre of a post-Modern, post-AIDS 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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.095
Threshold uncertainty score0.692

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0340.016
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.019
GPT teacher head0.212
Teacher spread0.193 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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