[Tobacco use in the region of the Americas: elements for a program of action].
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
Tobacco consumption is one of the most important public health challenges faced in the Americas. This is not only due to the great number of deaths attributable to smoking, many of which are premature, but also to the high economic and social costs of medical care and the burden of disease and disability imposed by tobacco consumption on health systems and on the population. In the regional epidemiologic situation. South American countries are characterized by the highest consumption rates, followed by the Andean region and Mexico; Central American and Caribbean countries have the lowest smoking prevalences. Only the United States and Canada have been able to hold back the smoking epidemic; the rest of the hemisphere shows stable or increasing smoking rates. In the region, age of smoking initiation has decreased and the number of women who smoke has increased. This article reviews the current tobacco control measures in Latin American legislations and analyzes selected regional characteristics such as the structure of young populations, control measures that are weak or scarce, and the world production of tobacco. There is a compelling need to establish economic, population-based, and legislative procedures leading to a gradual reduction of the current tobacco consumption rates. This paper advances a comprehensive action plan against tobacco consumption.
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 | 0.001 | 0.001 |
| 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) | 0.000 | 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