‘Pro-tobacco propaganda’: a case study of tobacco industry-sponsored elementary schools in China
Bibliographic record
Abstract
BACKGROUND: China is the largest producer and consumer of tobacco products worldwide. While direct marketing and advertisement of tobacco products is restricted, indirect marketing still exists under the guise of sponsorship and corporate social responsibility (CSR). This case study is focused on tobacco industry-sponsored elementary schools in Chinese rural areas. METHODS: Field visits were conducted in Yunnan province to interview students, teachers, school principals and parents to understand their perceptions of the tobacco industry and its sponsorship of schools. Interviews with tobacco control activists were conducted in Beijing to discuss national tobacco control efforts targeting tobacco industry sponsorship. Interview data were transcribed and coded, with key themes developed using thematic analysis. RESULTS: While health consequences of smoking are generally known, attitudes towards the tobacco industry and its CSR activities remain positive among the general public. Educators and parents do not perceive any impacts on schoolchildren from exposure to 'pro-tobacco propaganda' created by the industry's CSR activities. Attitudes among tobacco control activists were drastically different, with consensus that CSR activities constitute indirect marketing attempts that should be banned. CONCLUSION: National tobacco control legislation banning all forms of indirect marketing including CSR is needed in order to protect the health of future generations.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".