This article explains how social norms can help to distinguish and understand a range of different kinds of social inequality and social hierarchy. My aim is to show how the literature on social norms can provide crucial resources to relational egalitarianism, which has made social equality and inequality into a central topic of contemporary normative political theorizing. The hope is that a more discriminating and detailed picture of different kinds of social inequality will help relational egalitarians move beyond a discussion (...) of the justice or injustice of social equality as a single general category. (shrink)

The priority rule in science has been interpreted as a behavior regulator for the scientific community, which benefits society by adequately structuring the distribution of intellectual labor across pre-existing research programs. Further, it has been lauded as part of society's "grand reward scheme" because it fairly rewards people for the benefits they produce. But considerations about how news of scientific developments spreads throughout a scientific community at large suggest that the priority rule is something else entirely, which can disadvantage historically (...) underrepresented or otherwise marginalized social groups. (shrink)

The social identity of a researcher can affect their position in a community, as well as the uptake of their ideas. In many fields, members of underrepresented or minority groups are less likely to be cited, leading to citation gaps. Though this empirical phenomenon has been well-studied, empirical work generally does not provide insight into the causes of citation gaps. I will argue, using mathematical models, that citation gaps are likely due in part to the structure of academic communities. The (...) existence of these ‘structural causes’ has implications for attempts to lessen citation gaps, and for proposals to make academic communities more efficient. These proposals have the potential to create feedback loops, amplifying current structural inequities. (shrink)

We use game theoretic models to take an in-depth look at the dynamics of discrimination and academic collaboration. We find that in collaboration networks, small minority groups may be more likely to end up being discriminated against while collaborating. We also find that discrimination can lead members of different social groups to mostly collaborate with in-group members, decreasing the effective diversity of the social network. Drawing on previous work, we discuss how decreases in the diversity of scientific collaborations might negatively (...) affect the progress of epistemic communities. (shrink)

Why do minority groups tend to be discriminated against when it comes to situations of bargaining and resource division? In this paper, I explore an explanation for this disadvantage that appeals solely to the dynamics of social interaction between minority and majority groups---the cultural Red King effect. As I show, in agent-based models of bargaining between groups, the minority group will tend to get less as a direct result of the fact that they frequently interact with majority group members, while (...) majority group members meet them only rarely. This effect is strengthened by certain psychological phenomenon---risk aversion and in-group preference---is robust on network models, and is strengthened in cases where pre-existing norms are discriminatory. I will also discuss how this effect unifies previous results on the impacts of institutional memory on bargaining between groups. (shrink)

The study of social justice asks: what sorts of social arrangements are equitable ones? But also: how do we derive the inequitable arrangements we often observe in human societies? In particular, in spite of explicitly stated equity norms, categorical inequity tends to be the rule rather than the exception. The cultural Red King hypothesis predicts that differentials in group size may lead to inequitable outcomes for minority groups even in the absence of explicit or implicit bias. We test this prediction (...) in an experimental context where subjects divided into groups engage in repeated play of a bargaining game. We ran 14 trials involving a total of 112 participants. The results of the experiments are statistically significant and suggestive: individuals in minority groups in these experiments end up receiving fewer resources than those in majority groups. Combined with previous theoretical findings, these results give some reason to think that the cultural Red King may occur in real human groups. (shrink)

Modeling and computer simulations, we claim, should be considered core philosophical methods. More precisely, we will defend two theses. First, philosophers should use simulations for many of the same reasons we currently use thought experiments. In fact, simulations are superior to thought experiments in achieving some philosophical goals. Second, devising and coding computational models instill good philosophical habits of mind. Throughout the paper, we respond to the often implicit objection that computer modeling is “not philosophical.”.

Ideology critics believe that many bad social practices persist because of ideology, and that critiquing ideology is an effective way to promote social reform. Skeptics draw on game theory to argue that the persistence of such practices is better explained by collective action problems, and that ideology critique is causally inefficacious. In this paper, I reconcile these camps. I show that while game theory can help us identify contexts where ideology critique makes no difference, it also reveals causal mechanisms by (...) which ideology critique can have a significant effect. I then consider some objections and directions for further research. (shrink)

Typically, public discussions of questions of social import exhibit two important properties: they are influenced by conformity bias, and the influence of conformity is expressed via social networks. We examine how social learning on networks proceeds under the influence of conformity bias. In our model, heterogeneous agents express public opinions where those expressions are driven by the competing priorities of accuracy and of conformity to one’s peers. Agents learn, by Bayesian conditionalization, from private evidence from nature, and from the public (...) declarations of other agents. Our key findings are that networks that produce configurations of social relationships that sustain a diversity of opinions empower honest communication and reliable acquisition of true beliefs, and that the networks that do this best turn out to be those which are both less centralized and less connected. (shrink)