Issues in the smuggling of tobacco products
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
Abstract This chapter reviews several issues related to the smuggling of cigarettes and other tobacco products. First, the health and other consequences of cigarette smuggling are described, emphasizing the potential for cigarette smuggling to undermine tobacco-control efforts. This is followed by a description of the various legal, quasi-legal, and illegal activities that are broadly described as smuggling. The factors that create incentives for and/or facilitate these activities are reviewed, noting that non-price factors, such as the presence of corruption, organized crime, and widespread street-selling, can be as, or more, important than the levels of taxes and prices and the differentials between these in different jurisdictions. The impact of smuggling on tobacco tax revenues is then discussed, highlighting the experiences of Canada and Sweden, where cigarette taxes were reduced in response to the perception that cigarette smuggling was draining revenues. The role of the tobacco industry in smuggling is then discussed. Finally, a set of policy measures that can be used to counter cigarette smuggling is presented.
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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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