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  1. The Theory of Legal Cynicism and Sunni Insurgent Violence in Post-Invasion Iraq

    We elaborate a cultural framing theory of legal cynicism—previously used to account for neighborhood variation in Chicago homicides—to explain Arab Sunni victimization and insurgent attacks during the U.S. post-invasion occupation of Iraq. Legal cynicism theory has an unrecognized power to explain collective and interpersonal violence in international as well as U.S. settings. We expand on how "double and linked" roles of state and non-state actors can be used to analyze violence against Arab Sunni civilians.

  2. Elements of Professional Expertise: Understanding Relational and Substantive Expertise through Lawyers' Impact

    Lawyers keep the gates of public justice institutions, particularly through their roles in formal procedures like hearings and trials. Yet, it is not clear what lawyers do in such quintessentially legal settings: conclusions from past research are bedeviled by a lack of clear theory and inconsistencies in research design. Conceptualizing litigation work in terms of professional expertise, I conduct a theoretically grounded synthesis of the findings of extant studies of lawyers’ impact on civil case outcomes.

  3. 9/11 Merged U.S. Immigration and Terrorism Efforts at Latinos’ Expense, Study Finds

    After September 11, issues of immigration and terrorism merged, heightening surveillance and racializing Latino immigrants as a threat to national security, according to sociologists at The University of Texas at Austin (UT Austin).

  4. Ideology and Threat Assessment: Law Enforcement Evaluation of Muslim and Right-Wing Extremism

    Does ideology affect assessment of the threat of violent extremism? A survey of law enforcement agencies in the United States in 2014 offers a comparison suggesting a small but statistically significant effect: Political attitudes were correlated with assessment of threats posed by Muslim extremists, and threat assessment was not correlated with the number of Muslim Americans who had engaged in violent extremism within the agency’s jurisdiction.
  5. 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.
  6. Fuck Nuance

    Nuance is not a virtue of good sociological theory. Although often demanded and superficially attractive, nuance inhibits the abstraction on which good theory depends. I describe three “nuance traps” common in sociology and show why they should be avoided on grounds of principle, aesthetics, and strategy. The argument is made without prejudice to the substantive heterogeneity of the discipline.
  7. From the Bookshelf of a Sociologist of Diagnosis: A Review Essay

    The present essay will take readers through the bookshelf of this sociologist of diagnosis. It will demonstrate the wide-reaching topics that I consider relevant to the sociologist who considers diagnosis as a social object and also as a point of convergence where doctor and lay person encounter one another, where authority is exercised, health care is organized, political priorities are established, and conflict is enacted.

  8. Estimating Income Statistics from Grouped Data: Mean-constrained Integration over Brackets

    Researchers studying income inequality, economic segregation, and other subjects must often rely on grouped data—that is, data in which thousands or millions of observations have been reduced to counts of units by specified income brackets.
  9. Limitations of Design-based Causal Inference and A/B Testing under Arbitrary and Network Interference

    Randomized experiments on a network often involve interference between connected units, namely, a situation in which an individual’s treatment can affect the response of another individual. Current approaches to deal with interference, in theory and in practice, often make restrictive assumptions on its structure—for instance, assuming that interference is local—even when using otherwise nonparametric inference strategies.
  10. 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.