Minty Fresh! Absolving Dieters of their Consumption Sins
Bibliographic record
Abstract
This research contributes to the emerging interest in food morality by exploring the preference for and the effects of a particular food flavor (mint) on consumption behavior. More specifically, we examine how the refreshing oronasal properties of a specific food flavor (i.e., mint) systematically influence consumer preferences and food choice behavior. Across a pilot and two studies, we show that the refreshing properties of mint that can help dieters wash away the guilt associated with the consumption of “taboo” foods. We found that dieters tended to prefer “taboo” foods such as chocolate cookies (study 1) when they were mint-flavored. Further, after having consumed taboo food such as chocolate, dieters were more likely to prefer a mint- (vs. berry- or cinnamon-) flavored oral freshener (study 2). We also provide food marketers and public policy makers with new insights into how certain consumers (i.e., dieters) evaluate mint-flavored food products.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".