Scapegoated communities, shared struggles: A call for solidarity with people who use drugs and queer and trans people
Bibliographic record
Abstract
Efforts to control, repress, and punish drug use and queer and trans existence are rising as right-wing extremism becomes increasingly mainstream. These connected efforts are seen through the stifling of bodily autonomy and agency using criminal-legal, biomedical and political apparatuses, and have been executed similarly for people who use drugs and queer and trans people alike. This is most notable for those who exist at the intersection of these communities. Both groups have withstood attempts at manufacturing internal hierarchies - always at the expense of those who are already most marginalized - and eradication and erasure from public existence altogether. In this editorial, we argue that these mechanisms of oppression link not only the struggles of queer and trans people and people who use drugs, but also threaten those outside of these groups. As such, this paper is an urgent call to cultivate shared solidarity and action based in theorizing developed by people who use drugs and queer and trans communities. These tools support resistance against oppression not only through the reclamation of bodily autonomy and agency, but also by centering pleasures, desires, dreams, and the ability to imagine 'utopian' futures and versions of ourselves.
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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 | 0.015 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.072 |
| Scholarly communication | 0.022 | 0.023 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.018 | 0.024 |
| Insufficient payload (model declined to judge) | 0.003 | 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".