Size and scope of the tobacco trade on the darkweb
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
Globally, tobacco is responsible for the death of approximately 6 million individuals per year. In reaction, governments have enacted tobacco control policies that cope with the harmful effects of the drug. However, these policies have also created geographic price disparities and increased the effort needed to purchase legal tobacco products. The result was the creation of a new illicit tobacco market. While tobacco smuggling continues through conventional avenues, a new generation of traffickers have turned to a different source for the illicit distribution of tobacco – the internet, specifically the darkweb. The purpose of this paper is to describe the size and scope of illicit trafficking of tobacco on cryptomarkets, and the diverse types of tobacco-related products available on the cryptomarkets. Our analysis will provide guidance for policymakers, researchers, and all interested in the illicit trade of tobacco.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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