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Record W4409919324 · doi:10.1080/2040610x.2025.2497019

A labour of love: cancel culture as an accountability practice in the comedy industry

2025· article· en· W4409919324 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueComedy Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsDalhousie UniversityCommunity Based Research Centre
Fundersnot available
KeywordsComedyAccountabilityArtSociologyPolitical scienceLiteratureLaw

Abstract

fetched live from OpenAlex

Dominant power structures shape the way that knowledge and affect produces form and content in comedy. This includes the blatant leveling of sexualized violence, racism and discrimination against people with diverse identities who are both the ‘subject’ of comedic performance as well as workers in the industry. Those with power in the comedy industry often resist taking accountability for their violent behaviour through the articulation of ‘cancel culture’. In this paper we expand current understandings of political comedy to include the personal, specifically the use of lived experience as a political strategy for accountability. We argue that by using personal experiences of violence and discrimination as material, affected comedy workers can more publicly hold their peers accountable. We further disentangle comedians’ demands for safety from cancel culture’s prescient framing as unfounded ‘wokeness’ wielded against comedy’s affable heroes. We argue that making jokes that call attention to a comedian’s bad behaviour is a form of work and a labour of love that targeted comedy workers do to keep their industry safe.

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.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.477
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.371
Teacher spread0.323 · 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