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Data based radicalism? data usage and the problem of critical distance in contextual and empirical political theory

Research output: Contribution to journalArticlepeer-review

Abstract

Empirical political theory has grown in importance. In empirical political theory, attention to data is part of the evaluative step. A concern was raised that being attentive to the content of political science data implies that such attentiveness would limit the normative contours of empirical political theory, and will create a status-quo bias. This concern has been called the ‘problem of critical distance’. One way to appraise the significance of this problem is to examine the work done by empirical political theorists such as Anderson (on racial integration), Wenar (on international trade), and Carens (on immigration). All three scholars suggest radical policies that differ from existing institutions and rules. The likelihood that a theory will suffer from the problem of critical distance will depend on the type of usage of data by a given theorist, her/his normative standpoint, and the manner in which they coalesce or differ.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Keywords

  • Status quo bias
  • contextualism
  • empirical political theory
  • methodology
  • radicalism

All Science Journal Classification (ASJC) codes

  • Philosophy
  • Sociology and Political Science

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