Cueing Morality: The Effect of High-Pitched Music on Healthy Choice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Managers often use music as a marketing tool. For example, in advertising, they use music to intensify emotions; in service settings, they use slow music to boost relaxation and classical music to convey sophistication. In this article, the authors posit a novel effect—higher-pitched music can boost healthier choices. Recognizing that many perceptual characteristics of higher pitch (e.g., lighter, elevated) are conceptually associated with morality, they theorize that listening to higher- (vs. lower-) pitched music can cue morality. Furthermore, thoughts about morality can prompt moral self-perceptions and, in turn, thoughts about “good” behaviors, including healthy choices. Thus, listening to higher-pitched music may increase healthier choices. Employing field settings and online studies, the authors find that listening to higher-pitched music increases consumers’ likelihood to choose healthy options (Studies 1, 3, and 5), choose lower-calorie foods (Study 2), and engage in health-boosting activities (Study 4). This effect arises because high pitch raises the salience of morality thoughts (Studies 4 and 5). The article concludes with a discussion of theoretical and managerial implications.
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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 | 0.005 | 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 | 0.000 |
| 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 it