A demographic and health profile of gay and bisexual men in a large Canadian urban setting
Bibliographic record
Abstract
The purpose of this study was to provide both a population estimate and a socio-economic and health profile of gay and bisexual men living with HIV/AIDS in a large Canadian urban centre. A random telephone survey was used to determine the number of men in the study area over the age of 20 identifying as gay or bisexual and to characterize their health and socio-economic status. Out of a total of 1,176 completed interviews, 300 males described themselves as gay or bisexual. Projecting this figure on recent census data we estimated the number of men identifying as gay or bisexual in this region of downtown Vancouver, BC, at 5,100. Among these men we found an HIV prevalence rate of 16%, with those who reported a positive serostatus being less likely to be employed full time and more likely to earn less than $20,000 per year. In terms of clinical characteristics, HIV-positive men had a median CD4 cell count of 397 cells/mm(3) and a median viral load of less than 500 copies/ml. Eighty-three per cent of the HIV-positive respondents were on antiretroviral therapy and the median number of drugs taken by these men was three. In summary, random surveys of populations affected by this epidemic are important for policy makers, clinicians and persons caring for those with HIV/AIDS as they paint a clearer picture of who is being affected and help to identify areas where increased services are needed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".