Bibliographic record
Abstract
In this article, I explore both my personal experiences within queer men’s communities engaging with dieting practices and my journey encountering assessments for gynecomastia. Gynecomastia, a medical condition that typically describes cisgender men’s experiences with enlarged breasts and extra fat tissue on their pectorals, is an under-discussed medical condition that intersects with conversations around gender, sexuality, body image and self-esteem. Within queer men’s communities, the hegemonic emphasis on toned, ‘fit’ bodies and muscular pectoral muscles leaves individuals with gynecomastia with body image and self-esteem challenges. Accordingly, hierarchical notions of queer masculinities often position feminine embodiment, particularly that which is associated with fat and fleshiness, as lesser than. In this poststructural autoethnographic article, I engage with my personal experiences of being assessed for gynecomastia and personal histories with body image challenges. Through this, I describe the hegemonic norms within queer men’s communities that constitute feminized and fattened embodiments as inferior and place my personal experiences with body image and self-esteem challenges within a larger socio-cultural and political landscape that devalues bodies outside of hegemonic and masculinized norms. I provide implications for dietetic professional practices throughout the article and advocate for an awareness of social and cultural norms around gender and sexuality in dietetic professional practices.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".