Populism, in turn, employs a different principle: simplification. Technocracy and participatory governance attempt to reconfigure energy-policy by fostering the principles of guardianship and civic competence. We argue that technocratic guardianship, participatory governance, and populist simplification represent three ways of dealing with these challenges. The article explores conflicts around energy system transition, explaining them as manifestations of challenges to democracy, namely, progressive politicization of society, increasing political differentiation, and growing epistemic asymmetry between citizens, experts, and elites. Overall, issue-specific political knowledge was found to be an important predictor of vote choice. Likewise, similar differences in knowledge and psychological traits were found between those planning to vote for Trump versus Biden in the general election. We also found psychological asymmetries among Democrats and Democrat-leaning Independents, which were associated with candidate preference. Instead, Sanders and anti-establishment candidate supporters were found to be more knowledgeable. Based on previous research, we expected Sanders supporters and supporters of other “anti-establishment” candidates to have less accurate knowledge on these issues than Biden (and other establishment candidate) supporters, as the demographic groups that differentially supported Sanders tend to have lower levels of political knowledge. The study also traces how psychological traits affect political thinking within a partisan group, whereas most research has focused on psychological asymmetries across ideological and partisan groups. By utilizing a bias-sensitive method of measuring politically relevant knowledge – on economic, foreign policy, and environmental issues – we were able to identify candidate-selection effects of policy-specific information. Version 2021.2 Version 2021.1 Version 2020.2 Version 2020.This study examines how political knowledge affects voting behavior. This improves detection in situations such as: low-contrast marks, blurry marks, small targets and high noise. Improved RegMark Detection Controls – Controls have been added to guide Regmark detection for SFRreg images.FocusField can display Depth of Field, Curvature of field, axial chromatic aberration, and exact lens focal length. FocusField Postprocessor – FocusField is a postprocessor for displaying camera test results from batches of images acquired at different distances and/or with different focus settings.This upgraded feature is compatible with a multitude of charts, including SFRplus, SFRreg, eSFRiso, and Checkerboard. Sagittal/tangential MTF addition to the Radial (lens-style) MTF plot – Improved Radial MTF plot with sagittal/tangential MTF data.Both options utilize the Tukey window and 5th order polynomial fitting for accurate results. There are two new options that can be used for SFR Settings to control the Edge SFR Algorithm: Imatest 22.1 (recommended), and ISO 12233:2022 (draft).
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