Sexual Health, Risk Behaviors, and Substance Use in Heterosexual-Identified Women With Female Sex Partners: 2002 US National Survey of Family Growth
Bibliographic record
Abstract
BACKGROUND: Despite knowledge that some people engage in same-sex sexuality without espousing a sexual minority identity, this has rarely been studied in women. METHODS: Heterosexual women aged 20 to 44 who indicated one or more female sex partners in the past year were compared to those with less recent female sex partners, and to bisexual, homosexual, and exclusively heterosexual women using 2002 US National Survey of Family Growth data. RESULTS: Compared to exclusively heterosexual women, heterosexual women with a past-year female sex partner were significantly more likely to smoke tobacco (46% vs. 19%), binge drink (34% vs. 11%), use marijuana (58% vs. 11%), and use cocaine (19% vs. 2%). Substance use was high in this group overall, but they did not differ significantly from bisexuals on tobacco use or from homosexual or bisexual women on regular alcohol consumption. Most heterosexual women with a past-year female sex partner had only one in their lifetime. They had 10 median lifetime male partners versus 1 to 7 for other groups. Whereas similar to heterosexual women with less recent female sex partners and to bisexual women on some sexual risk measures, these women were more likely than any other group to have had a non-monogamous male partner (40%) or to have engaged in sex while high (69%). Differences in sexual risk and substance use were not explained by demographic differences. CONCLUSIONS: Results suggest same-sex behavior in heterosexual-identified women is a marker for a substance use and sexual risk profile distinct from that of bisexual, lesbian, or exclusively heterosexual women.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".