A scoping review protocol to map the research foci trends in tobacco control over the last decade
Bibliographic record
Abstract
INTRODUCTION: Tobacco dependence and smoke exposure have been global epidemics with health consequences recognised by the US Surgeon General since the 1960s and 1970s, respectively. During this period, a vast body of research evidence has emerged including many reviews of primary research studies targeting various tobacco control strategies. Published review studies synthesise primary evidence, providing a rich source for mapping the broad range of topics and research foci along with revealing areas of evidence deficits. In this paper, we outline our scoping review protocol to systematically review published review articles specific to tobacco control and primary prevention over the last 10 years. METHODS AND ANALYSIS: Using Arksey and O'Malley's scoping review methodology as a guide, our scoping review of published reviews begins by searching several databases: PubMed, Scopus, the Cochrane Library, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsycInfo and the Educational Resources Information Centre (ERIC). Our multidisciplinary team has formulated search strategies and two reviewers will independently screen eligible studies for final study selection. Bibliographic data and abstract content will be collected and analysed using a tool developed iteratively by the research team. ETHICS AND DISSEMINATION: A scoping review of published review articles is a novel approach for examining the breadth of literature regarding tobacco control strategies and, as a secondary analysis, does not require ethics approval. We anticipate results will identify research gaps as well as novel ideas for primary prevention research specific to tobacco control strategies concerning intervention, programming and policy. Although this is our first step in establishing a foundation for a research agenda, we will be disseminating results through journals and conferences targeting primary care providers and tobacco control.
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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 | 0.190 | 0.154 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.010 | 0.010 |
| Bibliometrics | 0.024 | 0.022 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.008 | 0.011 |
| Research integrity | 0.010 | 0.010 |
| Insufficient payload (model declined to judge) | 0.111 | 0.036 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".