Existing Food Habits and Recent Choices Lead to Disregard of Food Safety Announcements
Bibliographic record
Abstract
On whom do food safety announcements have the least impact? Building on research on cognitive dissonance and confirmatory bias, this study shows that consumers tend to inadequately process (food safety) information, pay limited attention to signals, and make purchase decisions that are biased toward their initial choices. Using an incentive compatible auction mechanism, this study elicited consumers' willingness to pay (WTP) under different informational settings. Results showed that consumers were willing to pay much higher prices when they chose to commit to food items (treatment) than when they were randomly assigned (control), suggesting cognitive dissonance. The gaps in WTP were further enlarged as food safety information was revealed to consumers. Confirmatory bias was supported by findings that those who made an earlier commitment were more reluctant to change their WTPs despite increased risk perceptions. In terms of market responses, demand curves were less likely to shift down in the presence of food safety risks because consumers were less responsive to public information due to their existing habits and psychological biases. Specialized targeted strategies will be necessary to target those who are heavy or recent users of the target food when there is a food safety scare.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.021 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".