Sexualized drug use in virtual space: A scoping review of how gay, bisexual and other men who have sex with men interact online
Bibliographic record
Abstract
The purpose of this article is to review the scope of the current literature on sexualized drug use (SDU) among gay, bisexual and other men who have sex with men (GBMSM), particularly in online spaces. Over the last decade, there has been a rapid emergence of online venues for GBMSM to interact for sexual purposes. These spaces have also been infused with various substances that influence or shape the sexual interactions among GBMSM. Employing a scoping review methodology, we explored the interplay between GBMSM, SDU, and online dating and hookup apps. This scoping review presents four themes emerging from the literature: the connection between social networking apps (SNAs) and SDU, the planning and coordination of sex parties, accessing drugs through SNAs, and the coded language that emerges on SNAs. These findings synthesize the important relationship between GBMSM and SDUs, and identify the implications for health promotion.
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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 | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.010 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".