Bibliographic record
Abstract
This article examines how militarized regimes of narcotics and price control sustain unpalliated cancer pain in Pakistan. It shows how these regimes of control-reimagined as "regimes of pain"-render morphine, a cheap, effective opiate analgesic, scarce in hospitals. Meanwhile, heroin, morphine's illegal derivative, proliferates in illicit circuits. The article highlights a devastating consequence of the global wars against drugs and "terror": the consignment of cancer patients to agonizing end-of-life pain. Widening the analytic lens upon palliation beyond bodies and their clinical encounters, the article offers a geopolitics of palliation. It shows how narcovigilance targeting illicit drugs has the perverse effect of throttling morphine's licit supply. It shows further how unviably low price ceilings, purported to ensure a poor population's access to morphine, render it scarce on the official market. These mutually reinforcing regimes of control thus thwart their own purported objectives, consigning cancer patients to preventable, yet unpalliated, pain.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".