Property and prejudice: How racial attitudes and social‐evaluative concerns shape property appraisals
Bibliographic record
Abstract
Abstract Property evaluations rarely occur in the absence of social context. However, no research has investigated how intergroup processes related to prejudice extend to concepts of property. In the present research, we propose that factors such as group status, prejudice and pressure to mask prejudiced attitudes affect how people value the property of racial ingroup and outgroup members. In Study 1, White American and Asian American participants were asked to appraise a hand‐painted mug that was ostensibly created by either a White or an Asian person. Asian participants demonstrated an ingroup bias. White participants showed an outgroup bias, but this effect was qualified. Specifically, among White participants, higher racism towards Asian Americans predicted higher valuations of mugs created by Asian people. Study 2 revealed that White Americans' prejudice towards Asian Americans predicted higher valuations of the mug created by an Asian person only when participants were highly concerned about conveying a non‐prejudiced personal image. Our results suggest that, ironically, prejudiced majority group members evaluate the property of minority group members whom they dislike more favourably. The current findings provide a foundation for melding intergroup relations research with research on property and ownership.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".