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Assessing South Carolina's 1990s congressional districting
Institution:1. Joint Mass Spectrometry Centre, Chair of Analytical Chemistry, University of Rostock, Dr.-Lorenz-Weg 2, 18059 Rostock, Germany;2. Joint Mass Spectrometry Centre, Comprehensive Molecular Analytics, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764 Neuherberg, Germany;1. School of Communication and Information Engineering, Shanghai University, Shanghai, China;2. College of Information Engineering, Shenzhen University, Shenzhen, China
Abstract:In this study, the authors employ a computer-intensive method to assess the factual basis for a race-as-predominant-factor claim against South Carolina's congressional districting plan. They use four algorithms that weight traditional districting criteria (equal population, the preservation of county integrity, and district area compactness) to generate 10,000 alternative plans containing a total of 60,000 congressional districts. Based upon the analysis of these plans, the authors conclude that: (1) race is a factor in the design of South Carolina's congressional districts; (2) race predominates over the preservation of county lines; and (3) race may predominate over district compactness.
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