‘‘A Kind of Sorting Out’’: Crystal Methamphetamine, Gay Men, and Health Promotion
Bibliographic record
Abstract
In the face of what has been referred to as a crystal methamphetamine (CMA) ‘‘epidemic’’ among gay men in North America, a number of health promotion efforts have been developed. While these efforts vary in approach, a core feature is the assumption that a user’s health depends on distinguishing accurate truths about CMA from inaccurate beliefs about CMA. Drawing on insights developed by Bruno Latour, this article unravels how this distinction plays out in the context of one expression of CMA health promotion. I suggest that CMA health promotion may be more usefully understood as form of collective work in which various players (subjects as well as objects) throw up different knowledge practices for debate rather than an effort to mark the difference between truth and belief. In doing so, I suggest that of Latour, and science studies more generally, offers an opportunity for rethinking the nature of health promotion writ large.
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.042 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".