Can Hand Washing Influence Hedonic Food Consumption?
Bibliographic record
Abstract
ABSTRACT The act of hand washing has been a routine part of hygienic practices across time and society. Aside from its physiological effects, hand washing has also been shown to symbolically cleanse individuals of their transgressions. However, most research demonstrating the metaphorical effect of hand washing has mainly been focused within the domain of morality. The objective of the current research is to explore the role of hand washing on consumption behavior, and more specifically, hedonic food consumption. Across two studies, this article establishes the role of hand washing after hedonic food consumption as well as prior to a hedonic food choice. In Study 1, washing one's hands after consumption of hedonic food decreased perceived guilt. In Study 2, washing one's hands prior to choice led to an increased likelihood of choosing a more hedonic (compared to less hedonic) food item. Thus, by washing one's hands, individuals are provided with a license to indulge in hedonic foods without the guilt that is commonly associated with such a choice. Several implications for consumer behavior research and the effects of hand washing on food decision making are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.012 |
| 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".