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Record W4281610752 · doi:10.1386/jaah_00101_1

Bodies becoming art: Using a Deleuzian approach to explore the bodies and health of gay men

2022· article· en· W4281610752 on OpenAlex
Phillip Joy, Matthew Numer, Sara Kirk, Megan Aston, Lisa Goldberg, Laurene Rehman

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Applied Arts and Health · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsDalhousie UniversityMount Saint Vincent University
FundersCanadian Institutes of Health Research
KeywordsPhotovoiceHarmSet (abstract data type)PsychologyAestheticsSociologyGender studiesSocial psychologyVisual artsArt

Abstract

fetched live from OpenAlex

The ways gay men navigate socially constructed body tensions are explored through a post-structural lens. Nine self-identifying gay men in Canada used photovoice to create images that expressed their beliefs, values and practices about their bodies. Participants took part in semi-structured interviews to discuss the meanings of their images. Three discursive considerations were created from the analysis of both interviews and the photographs. Participants attempted to create bodies aligned with the dominant body ideals for gay men but, in doing so, often suffered from emotional harm that negatively shaped their health and well-being. Some participants, however, through the process of creating their bodies were able to find new connections and new understanding of their bodies. They were able to find new ways of being outside the rigid body ideals set before them. Through the post-structural lens of the research, participants’ bodies can be conceptualized as bodies becoming art.

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)0.013
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.260
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.812
GPT teacher head0.632
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