Recall and response of smokers and recent quitters to the Australian National Tobacco Campaign
Bibliographic record
Abstract
OBJECTIVE: To track national population indices of recall and response among smokers and recent quitters to an ongoing national televised anti-smoking campaign in Australia. METHOD: National cross sectional population telephone surveys of adults. MAIN OUTCOME MEASURES: Unprompted recall of advertising; recognition of advertising; campaign attributed encouragement to quit or stay quit; unprompted awareness of smoking related health effects; new learning about smoking and health; and agreement with campaign related attitudes. RESULTS: Campaign advertising continued to be highly memorable over the period of study, with 88% having confirmed recognition in 2000. Campaign advertising was consistently thought by half of smokers who had seen it to make them more likely to quit (49% in 2000). Specific changes between surveys in unprompted awareness of smoking related health effects, new learning about smoking and health, and agreement with campaign related attitudes were observed in relation to the main messages of the advertisements, which were time sensitive according to the year of launch of the advert. The "artery" advertisement was associated with the largest and most consistent positive change in all of these parameters. The proportion of respondents who disagreed that the dangers of smoking had been exaggerated increased significantly from 59% in May 1997 to 68% in November 2000. CONCLUSION: A national campaign using graphic advertising to emphasise the health risks of smoking can make significant population wide contributions to improving new learning about smoking damage and positively influence attitudes about smoking risks.
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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".