The Queen of Hearts: Exploring the process of creating queer art and its use in dietetic research and practice
Bibliographic record
Abstract
Body image issues for gay men can shape their overall health and wellbeing. The intent of this article is to explore the personal and creative process in translating research findings to art. The article first presents a brief overview of the research that explored how social and cultural norms constitute the beliefs, values, and practices of gay men concerning their eating, body image, and health. The research findings are translated through an art piece that is disruptive to the dominant ways of knowing about the body ideals set before gay men. An art piece that is, therefore, by definition queer art. The findings, and hence, the art are interpreted through the classic tale of Alice in Wonderland - a poststructural piece of literature. The article describes the considerations and processes used to create the art, including the central character, the colors, and the the symbolism of its various components. Implications of queer art to dietetic practice are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.044 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.030 | 0.120 |
| Scholarly communication | 0.025 | 0.014 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".