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Record W3110944925 · doi:10.32920/cd.v4i1.726

Exploring "Obesity" and the Health of Gay Men using Feminist Poststructuralism

2018· article· en· W3110944925 on OpenAlexaffvenue
Phillip Joy, Matthew Numer

Bibliographic record

VenueJournal of Critical Dietetics · 2018
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsDalhousie University
Fundersnot available
KeywordsGender studiesMasculinityObesityFeelingSociologyResistance (ecology)White (mutation)PsychologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Popular health discourses on obesity tend to highlight the negative impacts of excess weight. Obesity, however, also has the effect of ranking and stationing individuals in the neoliberal health paradigm as unhealthy, immoral, and undesirable. The effects of obesity discourses can be prominently observed in gay men’s culture where muscular, white, thin bodies are glorified. This paper employs a feminist poststructural framework to examine how desired bodies are constituted in gay culture, the effects this has on gay men’s experiences of food and exercise, and resistance within gay culture to dominant obesity discourses. A review of the literature on obesity, gay culture, gay men’s health, body image and eating practices was undertaken to inform this work. Various studies have shown that the views within gay culture on fat bodies result in feelings of body dissatisfaction, rejection, and isolation for many men, especially for those that fall outside the privileged version of male bodies or who are labelled as ‘obese’. A critical review of the literature will explore how these experiences are produced through the sexualized culture of gay men.

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)0.003
metaresearch head score (Gemma)0.003
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 score0.523
Threshold uncertainty score0.849

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.318
GPT teacher head0.523
Teacher spread0.206 · 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

Citations6
Published2018
Admission routes2
Has abstractyes

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