The evidence-base and development of a tobacco-free stadium declaration for Europe
Bibliographic record
Abstract
The paper will present new data on the frequency of tobacco-free policies at football stadiums across UEFA's 55 member associations, including data on mandatory and voluntary policies, and levels of adherence by fans. With reference to this new evidence-base, the author will then detail new partnerships with UEFA, national football associations, Healthy Stadia and tobacco-control agencies in the development of a declaration. The declaration will commit national associations and/or league operators to embed tobacco-free stadia policies and enforcement within stadium regulations and conditions of sale for tickets to matches, and will be supported by a wide range of assets including guidance, case studies and training modules. It is anticipated that national associations will adopt a phased approach to implementing the primary aims of the declaration, with a commitment to completing the process within 24 months of signing the declaration. The declaration will be launched in June 2019 at the UEFA Nations League Finals in Portugal.
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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 | 0.003 | 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 | 0.001 | 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 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".