Memories of a Death Threat: Negative Consequences of Unconscious Thoughts About a Terrorist Attack on Attitudes Towards Alcohol
Bibliographic record
Abstract
Based on the terror management health model (TMHM), we examined the impact of terrorist attacks as reminders of death on implicit alcohol-related attitudes, including the moderating role of conscious death-related thoughts and alcohol-based self-esteem (ABS). With an online experiment ( N = 487), we analyzed how thoughts and memories about a recent terrorist attack unconsciously (with a delay task) and consciously (without a delay task) affected implicit alcohol-related attitudes. We found that such thoughts increased the death-thought accessibility. While no main effect of the salience of the terrorist attack on alcohol-related attitudes existed, respondents with low ABS had more positive attitudes, when unconsciously thinking about the attack as compared to the control group. Respondents with high ABS in the delay task had lower alcohol-IAT scores. Overall, this study provides evidence that thoughts about terrorism that can be provoked through media affect alcohol-related attitudes. Such attitudes may cause negative health consequences through health-related decisions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".