Discounting Humanity: When Consumers are Price Conscious, Employees Appear Less Human
Bibliographic record
Abstract
Consumers are frequently bombarded with a myriad of marketing tactics. One tactic regularly employed by thrift‐oriented brands is to highlight low prices, discounts, and sales promotions. When consumers encounter these low‐price signals, they may adopt a price conscious mentality, that is, a singular focus on getting the cheapest deal. A price conscious mentality is likely beneficial for consumers, as it helps them save money. However, it is also possible that it has negative implications, particularly for how consumers perceive and interact with other human beings in the marketplace, such as customer service employees. The current research addresses this issue by investigating how consumers’ price conscious mentality impacts their perceptions of employees’ humanity. Results from four studies demonstrate that a price conscious mentality can lead consumers away from fully recognizing the human qualities of employees. The findings also suggest that this subtle form of dehumanization can result in harsher treatment of employees when they provide less than satisfactory service.
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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 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".