Rauchverbote in öffentlichen Räumen: Aktuelle epidemiologische Evidenz für kardiovaskuläre Gesundheitseffekte auf Bevölkerungsebene
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
During the past years smoking bans in public places including hospitality venues have been introduced in several countries. Up to now, eight ecological studies on hospital admission rates due to acute myocardial infarction or coronary events after introduction of a smoking ban in the United States, Canada, and Italy have been published. This article reviews these studies and discusses their significance and potential sources of error from an epidemiological point of view. The chronological order of reduction in acute myocardial infarction rates following the smoking ban, the consistency of this association in several countries, and the biological plausibility because of the known acute cardiovascular effects of secondhand smoke suggest a causal association. Thus, if this turns out to be true public smoking bans will be a very effective public health measure.
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 | 0.011 | 0.004 |
| Meta-epidemiology (narrow) | 0.004 | 0.003 |
| Meta-epidemiology (broad) | 0.011 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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