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Record W4255819490 · doi:10.32920/ryerson.14647227

Male parody, sketch comedy and cultural subversion : the work of Scott Thompson, Rick Mercer and Steve Smith

2021· preprint· en· W4255819490 on OpenAlexaffabout
Danielle J. Deveau

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicMedia, Gender, and Advertising
Canadian institutionsYork UniversityToronto Metropolitan UniversityLibrary and Archives Canada
Fundersnot available
KeywordsHeteronormativitySubversionComedyQueerComicsSketchSociologyGender studiesQueer theoryPoliticsSubtextMasculinityArtAestheticsLiteratureLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

"Male Parody, Sketch Comedy and Cultural Subversion" is a Master's thesis that analyzes the male performances of Canadian comedians Scott Thompson, Rick Mercer and Steve Smith. Queer and feminist scholars suggest that subversive gender performance techniques such as camp can destabilize compulsory heteronormativity and binary gender constructions. Through the study of sketch comics Thompson, Mercer and Smith, it is evident that a range of masculine performances, both implicitly and explicitly in support of queer politics, are supported within popular comedy and Canadian maninstream media. The diverse comic techniques used by these actors prove effective in critiquing aspects of patriarchy, masculinity and heteronormativity as well as questioning essentialist assumptions behind social notions of hierarchy and marginality.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.436
Threshold uncertainty score0.866

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0160.038
Scholarly communication0.0100.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.043
GPT teacher head0.317
Teacher spread0.274 · 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
Published2021
Admission routes2
Has abstractyes

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