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Record W2204936794 · doi:10.22439/fs.v0i0.4934

Foucault, Laughter, and Gendered Normalization

2015· article· en· W2204936794 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

VenueFoucault Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMarxism and Critical Theory
Canadian institutionsMcGill University
Fundersnot available
KeywordsLaughterNormalization (sociology)PoliticsSociologyResistance (ecology)BiopowerAestheticsGender studiesPsychologySocial psychologyLawPolitical scienceSocial scienceArt

Abstract

fetched live from OpenAlex

Thus far, little attention has been paid by Foucauldian scholars to the role of laughter in our subjectivation and normalization, nor to the possible roles of laughter practices in political resistance. Yet, there is a body of references to laughter in both Foucault’s own work and that of his contemporary commentators, subtly indicating that it might be a tool for challenging normalization through transgression. I seek to negotiate the different functions (both transgressive and disciplinary) that our laughter practices can have, proposing that laughter is a worthy site of exploration for Foucauldian feminists in particular. Examining the differential norms, requirements, and sanctions around laughter shows that we are shaped as gendered subjects through the regulation of laughter’s timing and its bodily presentation. I argue that the contemporary state of laughter practices works to uphold docile femininity, using tools such as compulsory happiness and labelling feminists as killjoys. In brief, this article interrogates the ways in which cultivating different laughter practices can function as a path for Foucauldian-feminist political resistance.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.840
Threshold uncertainty score0.415

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)0.0000.000

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 head0.218
GPT teacher head0.322
Teacher spread0.104 · 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