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Record W4396691445 · doi:10.3138/cjhs-2023-0042

Beyond barks and bodies: Pup play and body image in gay, bi, trans, and queer men through a Deleuzian lens

2024· article· en· W4396691445 on OpenAlexaffvenue
Phillip Joy, Kinda Wassef, O Bonardi, Megan Aston, Olivier Ferlatte

Bibliographic record

VenueThe Canadian Journal of Human Sexuality · 2024
Typearticle
Languageen
FieldPsychology
TopicDiversity and Impact of Dance
Canadian institutionsDalhousie UniversityUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalMount Saint Vincent University
Fundersnot available
KeywordsQueerLens (geology)Gender studiesArtPsychologySociologyPhysicsOptics

Abstract

fetched live from OpenAlex

Body image is a complex issue that affects individuals from all genders and sexual orientations. Within the queer community pup play is a BDSM-related activity where participants take on the role of a pup/dog, complete with barking, crawling, and other canine behaviors. In this research, we explored how identifying as a pup shapes the body image of gay, bisexual, queer, and trans (GBQT) men using a Deleuzian approach. The process of cellphilming included attendance of three online workshops and the creation of a short cellphilm about their body image. Seventeen participants across five groups completed the workshops and submitted a cellphilm. Data was analyzed through discourse analysis, and while our analysis includes workshop quotes and film excerpts, the true depth of the films, capturing elements like lighting and sound, goes beyond the transcribed words. Three overarching discursive considerations are reported: (i) reinforcing body standards for GBTQ men, (ii) capacity for changing feelings about bodies, and (iii) becoming a pup. Participants suggested that although the pup community is more accepting of diverse bodies, hegemonic body standards for GBTQ men still apply. However, participants also described how identifying as a pup and connecting with others in the pup community was a way to navigate body image tensions.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.971

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 head0.043
GPT teacher head0.327
Teacher spread0.284 · 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 designObservational
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
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueThe Canadian Journal of Human SexualitySame topicDiversity and Impact of DanceFrench-language works237,207