Assessing the health and well-being of gay, bisexual and other men who have sex with men around the world
Bibliographic record
Abstract
This issue focuses on gay, bisexual and other men who have sex with men (MSM), a population greatly affected by coexistent HIV and STI epidemics in many parts of the world. Indeed, gay-related immune deficiency (GRID) was the name first proposed in 1982 to describe AIDS before HIV was recognised as the cause. Even in the earliest epidemiological studies of AIDS, it was understood that there was a link to sexual practices and a history of STI diagnoses.1 New STIs are emerging and disproportionately affecting gay men living with HIV, such as lymphogranuloma venereum, hepatitis C virus (HCV) and human papillomavirus (HPV)-induced anal cancer. Increased access to antiretroviral therapy (ART) for people living with HIV has induced a return to normalcy. This has claimed to contribute to the re-emergence of syphilis among MSM. Homosexual male–male activity is as old as mankind, and a part of life for many men in societies across the world. There is no evidence that men are more likely to be gay or otherwise MSM in any part of the world, though safety and social support to live as a gay man does vary greatly. Moreover, HIV disproportionately affects gay and bisexual men due to the efficiency of HIV transmission during condomless anal sex with serodiscordant and viraemic partners. The first part of this issue consists of a series of commissioned reviews and non-commissioned original articles describing the diverse responses to HIV and STIs among MSM around the world. A consistent message is the sustained disparity in the burden …
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 | 0.010 | 0.048 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".