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Record W4312981072 · doi:10.3167/jbsm.2022.030202

You Must Be Shitting Me

2022· article· en· W4312981072 on OpenAlexaff
Maude Riverin

Bibliographic record

VenueJournal of Bodies Sexualities and Masculinities · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsJohn Abbott College
Fundersnot available
KeywordsDisgustMasculinityNormativeQueerGender studiesScholarshipHuman sexualityPsychologyRepresentation (politics)SociologyAestheticsSocial psychologyArtPoliticsEpistemologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This article explores the gendered construction of disgust, and analyzes how it plays out in Peter Vack’s 2017 directorial-debut Assholes . Based on feminist and queer scholarship on abjection, disgust, and the social construction of bodies and sexualities, this article aims to delve into how Assholes frames the relationship between disgust and masculinity, as it shifts how gendered bodily boundaries are played onscreen. The movie’s un-shaming of women’s bodily functions and fluids directly impacts its representation of disgust and masculinity; it destabilizes the discourses that have framed normative—white, heterosexual, and able-bodied—masculinity as non-disgusting ; and it establishes that normative male bodies can, too, become abject.

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)0.001
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 score0.474
Threshold uncertainty score0.625

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.063
GPT teacher head0.244
Teacher spread0.181 · 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.

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
Published2022
Admission routes1
Has abstractyes

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