Constructing and Expanding Suicide Narratives From Gay Men
Bibliographic record
Abstract
In this study, we document life stories of gay men who attempted suicide as adults. Our goal is to expand the collection of narratives used to understand this persistent health inequity. We interviewed seven adult gay men, each of whom had attempted suicide two to four times, and identified five narratives. Pride narratives resist any connection between sexuality and suicide. Trauma-and-stress narratives enable coping through acknowledgment of sexual stigma as a fundamental trauma and cause of subsequent stress and suicidal thoughts. Memorial narratives prevent suicide by maintaining a strong sense of "permanent" identity. Outing narratives demand that the listener confronts the legacy of unjust practices of homosexual surveillance and "outing," which historically resulted in gay suicides. Finally, postgay narratives warn of the risk of suicide among older generations of gay men who feel erased from the goals of modern gay movements. Sexual identity concealment or invisibility featured prominently in all five narratives.
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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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.010 | 0.014 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| 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".