No One Wants to Look Cheap: Trade‐Offs Between Social Disincentives and the Economic and Psychological Incentives to Redeem Coupons
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
Existing research on price deals has largely demonstrated positive financial and nonfinancial consequences of obtaining a deal. In contrast, the research reported here suggests that certain price deals—in this case, coupons—can also produce negative social consequences, such as creating an impression of cheapness or stinginess. Decisions to redeem coupons are shown to involve a trade‐off between the social incentives to avoid coupons and competing economic and psychological incentives to redeem coupons. Consumers strategically adjusted their decision in response to factors that changed the relative strength of these incentives; specifically, they avoided coupons when they were concerned that coupon use would lead to negative social consequences but redeemed coupons when the circumstances reduced these concerns. Although decisions to refuse a coupon might violate principles of economic rationality, it is argued that such decisions are nevertheless functional as they serve important social goals. In this sense, it can be smarter for consumers to forgo a deal rather than obtain one.
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.
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 | 0.001 | 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