The role of bisexual-specific minority stressors in sexual compulsivity among bisexual men
Bibliographic record
Abstract
The current study examined the role of bisexual-specific distal stressors (i.e. anti-bisexual discrimination from heterosexuals and from lesbians and gay men) and proximal stressors (i.e. internalized binegativity and anticipated discrimination) in sexual compulsivity among bisexual men. Sexual compulsivity disproportionately affects gay and bisexual men and confers risk of sexually transmitted infections, including HIV. A total of 942 bisexual male adults, recruited primarily from three large cities in the United States and Canada, completed online self-report surveys. Results revealed that discrimination from lesbians and gay men (but not from heterosexuals) was associated with both internalized binegativity and anticipated discrimination. Internalized binegativity and anticipated discrimination, in turn, were associated with increased sexual compulsivity. Moreover, there was a significant indirect effect of discrimination from heterosexuals and from lesbians and gay men on sexual compulsivity through anticipated discrimination. There was also a significant indirect effect of discrimination from lesbians and gay men on sexual compulsivity through internalized binegativity. Results suggest that these bisexual-specific distal and proximal minority stressors are important risk factors for sexual compulsivity. As such, treatment providers are encouraged to address these underlying risk factors in treating sexual compulsivity among bisexual men.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".