Inequality Is a problem of inference: how people solve the social puzzle of unequal outcomes
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Date
2018-08-07
Authors
Mijs, Jonathan J. B.
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Citation
J. Mijs. 2018. "Inequality Is a Problem of Inference: How People Solve the Social Puzzle of Unequal Outcomes." Societies, Volume 8, Issue 3, pp. 64 - 64. https://doi.org/10.3390/soc8030064
Abstract
A new wave of scholarship recognizes the importance of people’s understanding of inequality that underlies their political convictions, civic values, and policy views. Much less is known, however, about the sources of people’s different beliefs. I argue that scholarship is hampered by a lack of consensus regarding the conceptualization and measurement of inequality beliefs, in the absence of an organizing theory. To fill this gap, in this paper, I develop a framework for studying the social basis of people’s explanations for inequality. I propose that people observe unequal outcomes and must infer the invisible forces that brought these about, be they meritocratic or structural in nature. In making inferences about the causes of inequality, people draw on lessons from past experience and information about the world, both of which are biased and limited by their background, social networks, and the environments they have been exposed to. Looking at inequality beliefs through this lens allows for an investigation into the kinds of experiences and environments that are particularly salient in shaping people’s inferential accounts of inequality. Specifically, I make a case for investigating how socializing institutions such as schools and neighborhoods are “inferential spaces” that shape how children and young adults come to learn about their unequal society and their own place in it. I conclude by proposing testable hypotheses and implication for research.
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© 2018 by the author. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.