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
Abstract Smoking bans are the most geographical aspect of contemporary tobacco control policy, and are eliminating smoke from many of the spaces of everyday life, particularly in high‐income countries. In this paper, we emphasize that the adoption of bans both reflects, and reinforces, changing social norms around smoking and exposure to environmental tobacco smoke. Specifically, as understandings of the health consequences of environmental tobacco smoke have developed, social acceptance of smoking has declined. Bans cement this norm shift by making the behaviour more difficult to perform, relocating smokers to marginal places, and contributing to stigmatization. We draw upon a diverse, multi‐disciplinary scholarship examining contemporary trends in the spatial regulation of smoking. While its focus is on the formal, large‐scale bans implemented by public authorities, increasing attention is now being paid to the myriad small‐scale, voluntary decisions of private actors to limit smoking. As smoking is permitted in ever fewer places, the behaviour is denormalized and its social status markedly eroded.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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 it