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Race and the language of legislating order: tracing the evolution of quality of life ordinances

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TitleInfo
Title
Race and the language of legislating order: tracing the evolution of quality of life ordinances
Name (type = personal)
NamePart (type = family)
Trocchio
NamePart (type = given)
Sarah
NamePart (type = date)
1985-
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Sarah Trocchio
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RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Miller
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Joel
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Joel Miller
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Advisory Committee
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chair
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Griffiths
NamePart (type = given)
Elizabeth
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Elizabeth Griffiths
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Advisory Committee
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internal member
Name (type = personal)
NamePart (type = family)
Rengifo
NamePart (type = given)
Andres
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Andres Rengifo
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Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Lynch
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Mona
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Mona Lynch
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Advisory Committee
Role
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outside member
Name (type = corporate)
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Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - Newark
Role
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school
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Text
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theses
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2019
DateOther (encoding = w3cdtf); (qualifier = exact); (type = degree)
2019-10
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2019
Language
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English
Abstract (type = abstract)
Since the 1990s, city councils in the United States have sanctioned order maintenance policing (OMP) practices through Quality of Life (QOL) ordinances. These laws, which proliferated during the punitive turn, empower police to serve as gatekeepers of physical and social order. To explain the stark ethnoracial disparities associated with OMP-related laws, scholars often use minority threat theory, which contends that as minority populations increase, politicians institute severe control responses to manage perceived social, political, and economic threats associated with those demographic changes (Blalock, 1957). While disparities persist today, questions remain about the durability of OMP practices and their impact on the policing of minorities. Since the 1990s, new policing trends have emerged, and it is unknown how these have affected the tone and scope of QOL ordinances. Further, tracing the influence of race in legislation over time is empirically challenging, since modern policy often invokes race tacitly, making it difficult to identify potential threat expressions in policies, especially through quantitative methods (Murakawa & Beckett, 2010).
This dissertation contributes to minority threat theory by using multiple methods to explore the presence and evolution of race-coded (RC) language in QOL ordinances in a nationally representative sample of cities (N=69), and evaluate the contextual factors that may influence observed trends in its use. Specifically, it assesses empirical support for minority threat explanations of implicit racial signaling in ordinances. I use Qualitative Content Analysis (QCA) to measure the existence and nature of RC language at two time periods: 1.) the height of the punitive turn (1997-2000), and 2.) today (2018). Results from the QCA are employed to generate variables that describe the patterning of RC language. Those variables are subjected to bivariate analyses evaluating the suitability of minority threat explanations, and offering insights about additional city-level factors that may explain RC language use. The final phase of this dissertation uses case study analysis of three cities, drawing on interviews, ordinance language, and news coverage to inductively explore the mechanisms that undergird legislative action regarding minority threat expressions in local policy, and ends with the presentation of an initial theoretical model for understanding this process.
Subject (authority = RUETD)
Topic
Criminal Justice
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
Identifier
ETD_10077
PhysicalDescription
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application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 290 pages) : illustrations
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Subject (authority = local)
Topic
Race
Subject (authority = LCSH)
Topic
Ordinances, Municipal -- United States
Subject (authority = LCSH)
Topic
African Americans -- Civil rights
Subject (authority = LCSH)
Topic
Discrimination in law enforcement -- United States
RelatedItem (type = host)
TitleInfo
Title
Graduate School - Newark Electronic Theses and Dissertations
Identifier (type = local)
rucore10002600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/t3-m9hz-b037
Genre (authority = ExL-Esploro)
ETD doctoral
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The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Trocchio
GivenName
Sarah
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2019-06-12 19:31:04
AssociatedEntity
Name
Sarah Trocchio
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - Newark
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Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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