Segregating Gotham’s Youngest: Racial/Ethnic Sorting and the Choice Architecture of New York City’s Pre-K for All

IF 3.5 1区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Douglas D. Ready, Jeanne L. Reid
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引用次数: 0

Abstract

New York City’s Pre-K for All (PKA) is the nation’s largest universal early childhood initiative, serving over 64,000 four-year-olds annually. Stemming from the program’s choice architecture as well as the city’s stark residential segregation, PKA programs are extremely segregated by child race/ethnicity. Our current study explores the complex forces that influence this segregation, including the interplay between family choices, seat availability, site-level enrollment priorities, and the PKA algorithm that weighs these and other considerations. We find that a majority of PKA segregation lies within local communities, and that areas with increased options and greater racial/ethnic diversity exhibit the most extreme segregation. We also conduct a simulation that leverages family PKA choices to maximize site-level racial/ethnic diversity and reduce between-site segregation.
隔离高谭市的年轻人:种族/民族分类和纽约市学前教育的选择架构
纽约市的全民学前教育(Pre-K for All, PKA)是美国最大的全民幼儿计划,每年为64,000多名四岁儿童提供服务。由于项目的选择架构以及城市鲜明的住宅隔离,PKA项目在儿童种族/民族方面受到极大的隔离。我们目前的研究探讨了影响这种隔离的复杂力量,包括家庭选择、座位可用性、站点级入学优先级之间的相互作用,以及权衡这些因素和其他考虑因素的PKA算法。我们发现,大多数PKA种族隔离发生在当地社区,而选择更多、种族/民族多样性更大的地区表现出最极端的种族隔离。我们还进行了一个模拟,利用家庭PKA选择来最大化站点级别的种族/民族多样性,并减少站点之间的隔离。
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来源期刊
American Educational Research Journal
American Educational Research Journal EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
8.70
自引率
0.00%
发文量
19
期刊介绍: The American Educational Research Journal (AERJ) is the flagship journal of the American Educational Research Association, featuring articles that advance the empirical, theoretical, and methodological understanding of education and learning. It publishes original peer-reviewed analyses that span the field of education research across all subfields and disciplines and all levels of analysis. It also encourages submissions across all levels of education throughout the life span and all forms of learning. AERJ welcomes submissions of the highest quality, reflecting a wide range of perspectives, topics, contexts, and methods, including interdisciplinary and multidisciplinary work.
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