Sexually transmitted diseases and hepatitis in a national sample of men who have sex with men in New Zealand.
Bibliographic record
Abstract
AIMS: To investigate the lifetime self-reported incidence of sexually transmitted diseases and hepatitis A, B and C in a national sample of men who have sex with men (MSM) in New Zealand. METHODS: A national telephone survey of MSM was conducted in 1996 with the aim of collecting baseline information on the sexual behaviour, safe sex practices, socio-sexual milieu and HIV knowledge of a broad range of MSM. RESULTS: Of the 1852 respondents, 37.1% reported a lifetime history of sexually transmitted diseases (STDs), 7.0% reported hepatitis A, 8.0% hepatitis B and 1.8% hepatitis C. A quarter (26.2%) had been for a sexual health check-up or treatment in the year prior to survey. Logistic regression analysis revealed independent associations with STD history (older age, higher number of lifetime partners, seeking partners in public venues, tested HIV positive), HAV (older age, higher number of lifetime partners, use of sex venues, tested HIV positive), HBV (older age, seeking partners in public venues, tested HIV positive), HCV (lower income, recent injecting drug use, tested HIV positive). CONCLUSIONS: This is the first time that information on STDs and hepatitis among a large national sample of MSM has been collected in New Zealand. The findings corroborate previous evidence that MSM are disproportionately affected by sexually transmitted infections other than HIV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 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) | 0.002 | 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".