Baisse du tabagisme des élèves parisiens suite au plan cancer
Bibliographic record
Abstract
UNLABELLED: The French national cancer prevention plan launched in 2003 led many smokers to quit; however, no data is available on the rates of French adolescents who have begun smoking. METHOD: Every year since 1991, the Paris without Tobacco (PST) organisation carries out a cross-sectional survey among Parisian teenagers. The data from 2003-2004 have been compared with data from years prior to the implementation of the cancer prevention plan. RESULTS: Of a total of 54,781 youth questioned, quasi-stability in tobacco consumption (4%) was observed. Tobacco consumption has dramatically decreased since the launch of the national cancer plan: - 80% in 12-13 year olds, - 61% in 14-15 year olds, and - 55% in 16-17 year olds. This drop is linked to the decrease in numbers of adolescents who start to smoke before the age of 16. After 16 years of age, one-quarter of this decrease is explained and accounted for by the increase in the rate of ex-smokers. CONCLUSIONS: There are numerous reasons available to elucidate this rapid "denormalisation" of tobacco and smoking in general. The data testify to the success of the establishment and implementation of tobacco prevention campaigns and interventions called for within the framework of the National Cancer Plan.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; a candidate call from one teacher head, 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".