Modelès socio-écologiques : renforcement de la recherche interventionnelle dans le contrôle du tabac. [Sociological Models: Strengthening intervention research in tobacco control]
Bibliographic record
Abstract
Some aspects of the tobacco control field have been informed by a broader conceptualization of the complex factors that determine population health. Tobacco control programs increasingly include multi-level interventions and policy changes to influence context. Further, socioecological concepts (e.g., strategies targeting intrapersonal, interpersonal and socioenvironmental interactions) are implicit in many comprehensive tobacco reduction policies. In contrast, tobacco intervention research lags behind this progression, with individual level strategies continuing to dominate the research agenda. New research methods are suggested to strengthen intervention research in tobacco prevention and cessation. Developmental transitions are briefly explored to consider the impact of developmental vulnerability and resiliency on youth tobacco use, providing an expanded focus and new opportunities for intervention research.
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 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 | 0.101 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.012 |
| 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; both teacher heads 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".