Faggot Speaks: A Poetic Inquiry into the Experience of Antigay Mistreatment and Sexual Prejudice
Bibliographic record
Abstract
Research suggests that, compared to heterosexual counterparts, gay men and other sexual minorities are at higher risk of developing emotional distress and mental disorders. The sexual minority stress model attributes these health disparities to the chronic social stress that arises in response to exposure to antigay mistreatment and sexual prejudice pervasive in the culture. Little research has been done to illuminate the lived experience of exposure to prejudiced behaviors and attitudes and this inquiry aims to begin to fill this gap by addressing the following questions: What is the experience of being mistreated for being gay or perceived as gay? What is the experience of being exposed to sexual prejudice when one is gay? Using the writing of autobiographical poetry as a process of inquiry and the resulting poems as narrative data, I explore my own experiences with antigay encounters and sexual prejudice over the course of my life. The intent is to vivify and magnify the phenomenon under investigation via evocative poetic renderings aimed to foster empathy and embodied understanding in the reader.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.041 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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".