How Structural Violence, Prohibition, and Stigma Have Paralyzed North American Responses to Opioid Overdose
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As of 2020, North America is now into the fifth year of an unprecedented increase in drug overdose deaths driven by a toxic, unpredictable, and unregulated drug supply. While the genesis and drivers of and response to the opioid overdose crisis have wide regional variations, structural violence, prohibitions against illicit drug use, and stigma consistently play a central role. The criminalization of users of illicit drugs has led directly not only to users' incarceration, but also to their marginalization and isolation and to violence, entrenched poverty, and a vicious cycle of trauma. This policy has created an environment wherein any initiatives to prevent and reverse overdoses have been severely restricted. While a war on drugs and the people who use them has been widely criticized as destructive and unwinnable, the criminal policies that support the war on drugs have not changed even in response to this unprecedented crisis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it