A Geographic Analysis of Drug Trafficking Patterns on the TOR Network
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 globalization processes continue to impact patterns in drug‐trafficking operations worldwide, a cyber‐based dimension of the drug trade has recently emerged via the Tor Network. This study employed geovisualization and exploratory spatial data analysis to examine drug distributions of heroin, cocaine, new psychoactive substances, and prescription drugs advertised on Agora, the largest international marketplace on the Tor Network at the time of data collection. Data were collected using webcrawling software and mapped to determine the presence of statistical outliers internationally or hotspots within Europe. Global Moran's I testing revealed that drugs sourced from Europe were randomly distributed. Box maps confirmed the visual analysis that six countries (including Canada and the United States) dominated world listings across the four drug types. Globally, heroin and cocaine markets were found to be almost exclusively retail based, while new psychoactive substances and prescription drugs were sold from countries with established pharmaceutical and chemical industries.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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