Tobacco Endgame in India
Bibliographic record
Abstract
The epidemic of tobacco use persists as a leading risk factor for noncommunicable diseases and impoverishment worldwide. Globally, more nations are undertaking measures for moving beyond “tobacco control” to a “tobacco-free world” under the unified theme of “tobacco endgame.” This concept of endgame includes an array of measures addressing both demand side and supply-side strategies for phasing out all commercial tobacco products within a specified time period. Globally, there have been many successes from countries such as New Zealand, Australia, Scotland, Netherlands, Finland, Ireland, Canada, France, and California. The Indian subcontinent has also been stepping up to progress the endgame concept and has been displaying exemplary leadership in the tobacco control. It has several national and subnational achievements to its credit. However, the tobacco endgame requires collaboration and capacity building of several sectors and stakeholders to align their activities with the tobacco endgame goals and vision of the Government of India. Besides, acceptance of endgame as a political objective is perhaps the first requirement for tobacco endgame in addition to program and community-level strategies. The need of the hour calls for a robust unified approach that engages all the stakeholders and involves increased investment in tobacco control by the country's governments and region.
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How this classification was reachedexpand
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 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".