Does Age Attenuate the Impact of Pleasant Ambient Scent on Consumer Response?
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
A large-scale field survey ( n = 592) was conducted in a suburban shopping mall to assess the impact of pleasant ambient scent on consumer spending as a function of shopper age. A citrus scent was systematically emitted into the shopping mall (or not) over several weeks, and as shoppers were about to exit the mall, they were intercepted to complete a survey. In the survey, respondents reported the amount of expenditures in the mall that day as well as their perceptions of the mall and demographic characteristics, such as age. The results indicate that shoppers spent significantly more in the mall with the presence of the pleasant ambient scent, but this result was true only among younger shoppers. Theoretical and practical implications of the reduced impact of ambient scent on older persons are discussed.
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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 | 0.000 | 0.000 |
| 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