Transforming the tobacco market: why the supply of cigarettes should be transferred from for-profit corporations to non-profit enterprises with a public health mandate: Table 1
Bibliographic record
Abstract
Current tobacco control strategies seek primarily to decrease the demand for cigarettes through measures that encourage individuals to adopt healthier behaviours. These measures are impeded and undermined by tobacco corporations, whose profit drive compels them to seek to maintain and expand cigarette sales. Tobacco corporations seek to expand cigarette sales because they are for-profit business corporations and are obliged under law to maximise profits, even when this results in harm to others. It is not legally possible for a for-profit corporation to relinquish its responsibility to make profits or for it to temper this obligation with responsibilities to support health. Tobacco could be supplied through other non-profit enterprises. The elimination of profit driven behaviour from the supply of tobacco would enhance the ability of public health authorities to reduce tobacco use. Future tobacco control strategies can seek to transform the tobacco market from one occupied by for-profit corporations to one where tobacco is supplied by institutions that share a health mandate and will help to reduce smoking and smoking related disease and death.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".