Person:

Cuddy, Amy

Income inequality undermines societies: the more inequality, the more health problems, social tensions, and the lower social mobility, trust, life expectancy. Given people’s tendency to legitimate existing social arrangements, the Stereotype Content Model (SCM) argues that ambivalence―perceiving many groups as either warm or competent, but not both―may help maintain socio-economic disparities. The association between stereotype ambivalence and income inequality in 37 cross-national samples from Europe, the Americas, Oceania, Asia, and Africa investigates how groups’ overall warmth-competence, status-competence, and competition-warmth correlations vary across societies, and whether these variations associate with a measure of income inequality (Gini index). More unequal societies do report more ambivalent stereotypes, while more equal ones dislike competitive groups and do not necessarily respect them as competent. Unequal societies may need ambivalence for system stability: income inequality compensates groups with partially positive social images.

Six studies explored the overlap between racial and gender stereotypes and the consequences of this overlap for interracial dating, leadership selection, and athletic participation. Two initial studies, utilizing explicit and implicit measures, captured the stereotype content of different racial groups: the Asian stereotype was seen as more feminine whereas the Black stereotype more masculine compared to the White stereotype. Study 3 found that preferences for masculinity versus femininity mediated White participants' attraction to Blacks relative to Asians. Analysis of the 2000 United States Census replicated this pattern with interracial marriages. In Study 5, Blacks were more likely and Asians less likely to be selected for a masculine leadership position compared to Whites. Study 6 analyzed the NCAA Student-Athlete Ethnicity Report and found Blacks were more heavily represented in masculine versus feminine sports relative to Asians. These studies demonstrate that the association between racial and gender stereotypes has important real-world consequences.