论文标题
大流行决策：学习国会反应的较低维度。
Pandemic Policymaking: Learning the Lower Dimensional Manifold of Congressional Responsiveness
论文作者
论文摘要
最近的一项研究利用1973 - 2020年大流行有关的决策的文本探讨了大流行决策是否已经发展，或者我们是否正在目睹与Covid-19这样的大规模危机有关的新的，独特的决策时代。这项研究在同一研究时期并基于相同的数据，但不包括文本。取而代之的是，使用高维流形学习，本研究仅基于账单级特征来探讨大流行决策空间的潜在结构。结果表明，政策制定地图的共同19时代非常紧密地与相关决策的先前时期。这表明，大流行决策的“进化趋势”较少，尽管在与这些类型的大规模危机有关的国会决策中，尽管处于独特的超极化，分裂，分裂和无效治理的时代，但国会决策的统一性却较少。
A recent study leveraging text of pandemic-related policymaking from 1973--2020 explored whether pandemic policymaking has evolved, or whether we are witnessing a new, unique era of policymaking as it relates to large-scale crises like COVID-19. This research picks up on this approach over the same period of study and based on the same data, but excluding text. Instead, using high dimensional manifold learning, this study explores the latent structure of the pandemic policymaking space based only on bill-level characteristics. Results indicate the COVID-19 era of policymaking maps extremely closely onto prior periods of related policymaking. This suggests that there is less of an "evolutionary trend" in pandemic policymaking, where instead there is striking uniformity in Congressional policymaking related to these types of large-scale crises, despite being in a unique era of hyperpolarization, division, and ineffective governance.
