Recency Versus Repetition Priming Effects of Cigarette Warnings on Nonsmoking Teenagers: The Moderating Effects of Cigarette‐Brand Familiarity
Bibliographic record
Abstract
This study focuses on the interactive effects of antismoking warnings and cigarette‐brand familiarity on teenagers' smoking intent, attitudes toward the website, and sponsoring brand when exposed to entertainment websites sponsored by cigarette brands. Findings from a 3 (Warning Type) × 2 (Level of Cigarette‐Brand Familiarity) factorial design experiment with nonsmoking teenagers demonstrated that text and picture warnings significantly reduced attitudes toward cigarette brands, compared to text‐only or no warning. Warnings had assimilation effects on attitudes (toward brand and website) and on smoking intent in the case of familiar brands; and marginally significant contrast effects in the case of unfamiliar brands, which better reflects the repetition priming paradigm than the recency priming paradigm, and calls for attention to cigarette brands' familiarity.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".