Negotiating Social Stigma Among Gay Asian Men
Bibliographic record
Abstract
It has long been argued that stereotypes have led many gay Asian men to have negative feelings about themselves and other gay Asians, to the idealization of white men as potential partners, hostility towards other gay Asians, internalization of the stereotypes as passive and submissive, and being sexually objectified by some white men. To counter the effects of the stereotypes, critics and theorists of the gay Asian experience suggest increasing the visibility of Asian role models in the gay community, developing a strong sense of self-identity by choosing Asian men as potential partners, and encouraging involvement with the mainstream gay community. In contrast, we explore resistance to the stereotypes at a personal level, using narratives obtained through a series of interviews to analyze the ways in which gay Asian men negotiate and (re)frame the social stigma associated with their bodies and desire for white men. We argue that gay Asian men do not simply accept the negative stereotypes imposed by the dominant culture; rather, they actively resist and continuously reconstruct meanings about their bodies and desires.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.010 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".