Mathematical Models and Robustness Analysis in Epistemic Democracy: A Systematic Review of Diversity Trumps Ability Theorem Models. Issue 3 (June 2020)

• Record Type: Journal Article
• Authors: Sakai, Ryota
• Other Names: Cheung Chor-yung guest-editor.; Di Iorio Francesco guest-editor.; Dumouchel Paul guest-editor.; Gotoh Reiko guest-editor.; Tamthai Mark guest-editor.; Yoshida Kei guest-editor.
• Is Part Of: Philosophy of the social sciences. Volume 50:Issue 3(2020)
• Page Start: 195
• Page End: 214
• Publication Date: 2020-06
• Subjects: epistemic democracy -- robustness analysis -- systematic review -- diversity trumps ability theorem -- deliberative democracy; Social sciences -- Periodicals; Social sciences -- Methodology -- Periodicals; Sciences sociales -- Périodiques; Sciences sociales -- Méthodologie -- Périodiques; 300.1
• DOI: 10.1177/0048393120917635
• Languages: English
• ISSNs: 0048-3931

Abstract

This article contributes to the revision of the procedure of robustness analysis of mathematical models in epistemic democracy using the systematic review method. It identifies the drawbacks of robustness analysis in epistemic democracy in terms of sample universality and inference from samples with the same results. To exemplify the effectiveness of systematic review, this article conducted a pilot review of diversity trumps ability theorem models, which are mathematical models of deliberation often cited by epistemic democrats. A review of nine models extracted from 352 papers exemplifies the effectiveness of robustness analysis supplemented by systematic review in epistemic democracy.