Recent Suicide Attempts Across Multiple Social Identities Among Gay and Bisexual Men: An Intersectionality Analysis
Bibliographic record
Abstract
This study draws from intersectionality to describe variations in recent suicide attempts (RSA) among gay and bisexual men (GBM) across sociodemographics. Using survey data, logistic regression modeling explored RSA in two analytical stages: (1) the individual effects of each sociodemographic were measured; (2) two-way interaction terms between sociodemographics were tested and added to the models created in stage A. In stage A, only education and income achieved significance. In stage B, the study found that (a) education and income interacted significantly such that the odds of RSA increased for those with a lower income and a lower education; (b) sexual orientation and partnership status interacted, resulting in decreased odds among bisexual men in heterosexual partnerships; and (c) income and education interacted with geography; the effects of these variables were significant only among urban men. These findings suggest that GBM are at unequal risk of RSA according to intersecting sociodemographics.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.000 | 0.001 |
| 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".