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Mixed measures

Different definitions of racially diverse neighborhoods compared

Bibliographic Data

ID11670236
AuthorsRichard Wright (0000-0002-9884-7343, Dartmouth College, corresponding author), Mark Ellis (0000-0002-0435-1348, University of Washington), Steven R Holloway (0000-0002-8336-8454, University of Georgia), Sue Holloway (0000-0002-4550-4849, University of Georgia), Mehrnush Golriz (0000-0002-9513-8699, Department of Geography, University of California, Los Angeles, CA, USA)
Year2020
Volume42
Issue8
Pages1147-1169
Publication date2020-05-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueUrban Geography (JOURNAL)
Journal identifiersISSN: 0272-3638 • E-ISSN: 1938-2847
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/02723638.2020.1756056
PMID35400785
OpenAlexW3023553155
LanguageEN
Citations received8
References cited38

Focusing on neighborhoods that researchers consider particularly diverse, this paper assesses the ways scholars have characterized neighborhood racial diversity in the United States. Social scientists use a variety of methods to define and measure highly racially diverse places, resulting in a single label being used to capture very different aspects of a census tract's racial demography. We examine the criteria used to classify neighborhood racial diversity to bring perspective on the logic behind various approaches. We then group the range of schemas into several broad types from which we choose a representative four. These form the basis for a series of empirical comparisons using U.S. Census data to reveal the contexts where the taxonomies produce similar outcomes and those where they do not. The analysis goes on to consider the implications stemming from the choices social scientists make when they opt for one approach over another

Census · Census tract · Data science · Diversity (politics · Geography · Perspective (graphical · Population · Race (biology · Racial composition · Racial diversity · Range (aeronautics · Regional science · Sociology · Statistics · Variation (astronomy · Variety (cybernetics · Computer Science · Demography · Gender Studies · Mathematics · Racial and Ethnic Identity Research · School Choice and Performance · Urban, Neighborhood, and Segregation Studies

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Unique citing works8
Citations per year1,33
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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