American Sociological Association



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  1. Do‐It‐Yourself Urban Design: The Social Practice of Informal “Improvement” Through Unauthorized Alteration

    There are numerous ways in which people make illegal or unauthorized alterations to urban space.

  2. Practicing Intersectionality in Sociological Research: A Critical Analysis of Inclusions, Interactions, and Institutions in the Study of Inequalities

    In this article we ask what it means for sociologists to practice intersectionality as a theoretical and methodological approach to inequality. What are the implications for choices of subject matter and style of work? We distinguish three styles of understanding intersectionality in practice: group-centered, process-centered, and system-centered. The first, emphasizes placing multiply-marginalized groups and their perspectives at the center of the research.

  3. What Are Dual Process Models? Implications for Cultural Analysis in Sociology

    In this paper we introduce the idea of the dual process framework (DPF), an interdisciplinary approach to the study of learning, memory, thinking, and action. Departing from the successful reception of Vaisey (2009), we suggest that intradisciplinary debates in sociology regarding the merits of “dual process” formulations can benefit from a better understanding of the theoretical foundations of these models in cognitive and social psychology.

  4. Neoliberalism

    Johanna Bockman unpacks a hefty term, neoliberalism. She cites its roots and its uses, decoding it as a description of a “bootstraps” ideology that trumpets individualism and opportunity but enforces conformity and ignores structural constraints.

  5. Toward a Sociology of Colonial Subjectivity: Political Agency in Haiti and Liberia

    The authors seek to connect global historical sociology with racial formation theory to examine how antislavery movements fostered novel forms of self-government and justifications for state formation. The cases of Haiti and Liberia demonstrate how enslaved and formerly enslaved actors rethought modern politics at the time, producing novel political subjects in the process. Prior to the existence of these nations, self-determination by black subjects in colonial spaces was impossible, and each sought to carve out that possibility in the face of a transatlantic structure of slavery.
  6. Comment: Bayes, Model Uncertainty, and Learning from Data

    The problem of model uncertainty is a fundamental applied challenge in quantitative sociology. The authors’ language of false positives is reminiscent of Bonferroni adjustments and the frequentist analysis of multiple independent comparisons, but the distinct problem of model uncertainty has been fully formalized from a Bayesian perspective.
  7. Comment: Some Challenges When Estimating the Impact of Model Uncertainty on Coefficient Instability

    I once had a colleague who knew that inequality was related to an important dependent variable. This colleague knew many other things, but I focus on inequality as an example. It was difficult for my colleague to know just how to operationalize inequality. Should it be the percentage of income held by the top 10 percent, top 5 percent, or top 1 percent of the population? Should it be based on the ratio of median black income to median white income, or should it be the log of that ratio? Should it be based on the Gini index, or perhaps the Theil index would be better?
  8. The Emergence of Statistical Objectivity: Changing Ideas of Epistemic Vice and Virtue in Science

    The meaning of objectivity in any specific setting reflects historically situated understandings of both science and self. Recently, various scientific fields have confronted growing mistrust about the replicability of findings, and statistical techniques have been deployed to articulate a “crisis of false positives.” In response, epistemic activists have invoked a decidedly economic understanding of scientists’ selves. This has prompted a scientific social movement of proposed reforms, including regulating disclosure of “backstage” research details and enhancing incentives for replication.
  9. Comment: The Inferential Information Criterion from a Bayesian Point of View

    As Michael Schultz notes in his very interesting paper (this volume, pp. 52–87), standard model selection criteria, such as the Akaike information criterion (AIC; Akaike 1974), the Bayesian information criterion (BIC; Schwarz 1978), and the minimum description length principle (MDL; Rissanen 1978), are purely empirical criteria in the sense that the score a model receives does not depend on how well the model coheres with background theory. This is unsatisfying because we would like our models to be theoretically plausible, not just empirically successful.
  10. Comment: Evidence, Plausibility, and Model Selection

    In his article, Michael Schultz examines the practice of model selection in sociological research. Model selection is often carried out by means of classical hypothesis tests. A fundamental problem with this practice is that these tests do not give a measure of evidence. For example, if we test the null hypothesis β = 0 against the alternative hypothesis β ≠ 0, what is the largest p value that can be regarded as strong evidence against the null hypothesis? What is the largest p value that can be regarded as any kind of evidence against the null hypothesis?