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 income inequality (Gini index). More unequal societies 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.
Infrahumanization theory has claimed that groups tend to infrahumanize, and thus denigrate, each other irrespective of group status. However, research on infrahumanization has mainly addressed status in the context of national, ethnic, and regional divisions. The present studies tested the effect of group status in infrahumanization by employing occupational groups of varied status, both in abstract (blue-collar vs. whitecollar workers) and specific terms (lawyers vs. shopkeepers, and high school teachers vs. university faculty members and primary school teachers). The results showed that only relatively higher status groups always attributed uniquely human emotions more to their in-group than to lower status out-groups. In contrast, lower status groups showed no bias in attributions of uniquely human emotions, or were biased in favour of the higher status out-group. The discussion of these results points to the role of consensus in the distribution of social value amongst groups of asymmetric status.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.