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Record W2980788208 · doi:10.33137/cal.v6i1.32563

Chester Brown and the Queerness of Johns

2019· article· en· W2980788208 on OpenAlexaffabout
Ummni Khan

Bibliographic record

VenueCritical Analysis of Law · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsCarleton University
Fundersnot available
KeywordsQueerMemoirComicsInnocenceScholarshipMainstreamConstruct (python library)Gender studiesRomanceHuman sexualityIdentity (music)SociologyKinshipNarrativePsychologyPsychoanalysisAestheticsArtLawPolitical scienceLiterature

Abstract

fetched live from OpenAlex

Sex trade clients have become a contested identity in academia and mainstream media. Some construct clients as exploitative and inherently deviant, while others destigmatize them as complex and varied. Regardless of one’s position, almost all of the discourse is authored by non-clients (or those who do not identify as clients). Chester Brown’s Paying For It: A Comic-Strip Memoir About Being a John marks an autobiographical intervention into the literature. In this 2011 Canadian memoir, Brown chronicles his journey from being a monogamous boyfriend to becoming a client of multiple sex workers. This article uses Paying For It to situate Brown, and sex trade clients in general, as queer subjects in their rejection of relational normativity and engagement with criminalized consensual sexuality. Part I surveys the changing construction of sex trade clients from ordinary to deviant men, and reviews scholarship that reads sex work as queer activity. Part II begins by analyzing comics as a genre teeming with queerness. It then queers Brown by considering both aesthetic choices and depicted life episodes, with a focus on his rejection of romantic labor, and fostering of alternative kinship arrangements.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.560

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 studies0.0000.002
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 head0.024
GPT teacher head0.326
Teacher spread0.302 · 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 designTheoretical or conceptual
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

Citations2
Published2019
Admission routes2
Has abstractyes

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