Effectiveness of Front-of-pack Nutrition Symbols: A Pilot Study with Consumers
Bibliographic record
Abstract
PURPOSE: The effectiveness of different front-of-pack nutrition rating systems and symbols (FOPS) has not been studied among Canadians. We pilot tested an online FOPS survey with consumers. METHODS: Members of the Guelph Food Panel were randomly exposed to traffic light, Percent Daily Value, Health Check, and Smart Pick logos on mock food packages and were asked to rate the FOPS on a Likert-type scale. The FOPS were rated on consumers' ability to understand them, credibility, and influence on purchase decisions. Participants also provided feedback on the survey. RESULTS: Participants (n=337) deemed the survey appropriate in length and language, and provided suggestions for improving survey clarity. More than 50% of the respondents believed that FOPS should be present on all food packages (65.1%) and should be government regulated (53.0%). The Percent Daily Value symbol was rated highest with respect to liking, credibility, helpfulness, and influence, but was the least understood. When they used direct comparison, consumers preferred the traffic light symbol (53.1%) over the Percent Daily Value (40.0%), Health Check (6.7%), and Smart Pick (0.3%) symbols. CONCLUSIONS: The survey was revised as a result of the pilot study feedback. Preliminary findings from this pilot study suggest that consumers prefer a single, government-regulated symbol, and value more complex FOPS, like the Percent Daily Value symbol, despite finding them harder to understand.
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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 | 0.004 | 0.002 |
| 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".