Cripistemologies of Drug Use Against Transinstitutional Carceral Ableism
Bibliographic record
Abstract
Across Canada, thousands of drug users are dying from a toxic illicit drug supply resulting from oppressive drug policies and regulations that reinforce the prohibition and criminalization of drug use and the pathologization and rehabilitation of drug users. Bringing together critical drug studies and critical disability studies, the article contributes cripistemologies of drug use to unpack some of the ways transinstitutional carceral ableism conjoins control strategies of punishment-therapy-abandonment to unite both medical and carceral approaches to disability and drug use that have debilitating and deadly consequences. Against transinstitutional carceral ableism, the article mobilizes cripistemologies of drug use to trouble and reject the disposability of non-rehabilitated drug users central to medical and carceral approaches and instead favour consensual and pleasurable drug use via care practices grounded in interdependence, mutual aid, and solidarity.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.103 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| 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".