Percepción sobre políticas de espacios libres de humo de tabaco en bares y restaurantes del centro de México
Bibliographic record
Abstract
OBJECTIVE: To analyze the perceptions and appreciations over smoke-free environments of restaurant and bar managers from four cities in central Mexico. MATERIAL AND METHODS: Managers from 219 restaurants and bars from Mexico City, Colima, Cuernavaca and Toluca were surveyed about smoke-free environments opinions and implementation. Simultaneously, environmental nicotine was monitored. RESULTS: The majority of surveyed managers considered public places should be smoke-free, although more than half were concerned with potential economic loses. Implementation of smoke-free environments was more frequent in Mexico City (85.4%) than in the other cities (15.3% overall), with consequently lower environmental nicotine concentrations. CONCLUSION: Managers acknowledge the need to create smoke-free environments. Concerns over economic negative effects derived from the prohibition could explain, at least partially, the rejection of this sector towards the implementation of this type of policy.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".