Preventing smoking in children and adolescents: Recommendations for practice and policy
Bibliographic record
Abstract
Canada has witnessed a general decrease in smoking prevalence among all age groups in recent years. However, despite large numbers of campaigns and interventions, thousands of young Canadians continue to initiate cigarette smoking every year. The increasing popularity of alternative tobacco products and e-cigarettes is also creating new health challenges. Research has shown that the deleterious effects of nicotine and cigarette smoke are significant and long lasting. Health care professionals have key responsibilities in preventing tobacco use among youth and their families, and need to know more about effective smoking prevention and cessation strategies. Clinicians need to integrate tobacco counselling into health assessments of teenagers and be aware of the roles that families, communities and governments can play in promoting tobacco-free environments. Information, effective strategies and opportunities for health care professionals to intervene and advocate for Canadian adolescents are discussed.
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 | 0.030 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.009 | 0.007 |
| Research integrity | 0.020 | 0.020 |
| Insufficient payload (model declined to judge) | 0.023 | 0.005 |
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".