Global Flows in Drug Treatment: Heroin Addiction and Therapeutic Community Approaches in China
Bibliographic record
Abstract
This article focuses on one residential therapeutic community for the treatment of heroin and opiate addiction in contemporary China. It discusses 2 case vignettes and shows that although addictions are extremely difficult to treat, there are small successes being reached in China's southwest. Residential treatment communities follow mobile global practices that link Western models of 12-step Narcotics Anonymous, self-healing, to other Chinese practices like Maoist "speak bitterness." In China it is in the drug aid theaters where Sunlight-International traveled to do three things: (a) stave off the American drug market, (b ) reduce drug trafficking across national borders, and (c) address the psychosocial problems associated with global drug trafficking and consumption. Through the process of unraveling the on-the-ground practices of public health international humanitarian nongovernmental organizations and some of their therapeutic models, we begin to see new alliances formed across the globe around drug treatment and care that point toward important results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".