Electronic Cigarettes POSITION STATEMENT
Bibliographic record
Abstract
This position statement about electronic cigarettes is issued in the context of the following concerns about the devices and how they are regulated in Canada: There is emerging evidence of health and safety risks associated with e-cigarette devices, vaping, and exposure to second-hand vapour; Rapidly growing youth use of e-cigarettes, is concerning because it may lead to nicotine addiction and smoking initiation in young people; Quality control and manufacturing standards for e-cigarettes are lacking; E-cigarette use could impair denormalization of smoking behaviour and undermine quit attempts; Although many smokers are interested in using e-cigarettes as a cessation aid, they have not been proven to be effective and are not approved for this purpose. In the absence of sufficient evidence of safety and emerging concerns about health risks, Toronto Public Health recommends that the federal and provincial governments subject electronic cigarettes (with or without nicotine) to the following regulatory controls: E-cigarette use should be prohibited wherever smoking is prohibited through the
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.020 | 0.011 |
| Insufficient payload (model declined to judge) | 0.119 | 0.101 |
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 source (direct Gemma or distilled Codex), 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".