Topologies of Race

Doing territory, population and identity in Europe

Bibliographic Data

ID5338045
AuthorsAmade M’charek (0000-0001-5242-2406, University of Amsterdam, Amsterdam, Netherlands, corresponding author), Katharina Schramm (0000-0002-9275-6387, Martin Luther University, Halle (Saale), Germany), David Skinner (0000-0002-8169-3958, Anglia Ruskin University, Cambridge, England)
Year2014
Volume39
Issue4
Pages468-487
Publication date2014-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueScience Technology & Human Values (JOURNAL)
Journal identifiersISSN: 0162-2439 • E-ISSN: 1552-8251
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0162243913509493
OpenAlexW2135931219
LanguageEN
Citations received81
References cited33

Territorial borders just like other boundaries are involved in a politics of belonging, a politics of "us" and "them". Border management regimes are thus part of processes of othering. In this article, we use the management of borders and populations in Europe as an empirical example to make a theoretical claim about race. We introduce the notion of the phenotypic other to argue that race is a topological object, an object that is spatially and temporally folded in distributed technologies of governance. To elaborate on these notions, we first examine a number of border management technologies through which both race and Europe are brought into being. More specifically we focus on how various such technologies aimed at monitoring the movement of individuals together with the management of populations have come to play crucial roles in Europe. Different border management regimes, we argue, do not only enact different versions of Europe but also different phenotypic others. We then shift the focus from border regimes to internal practices of governance, examining forensic DNA databanks to unravel articulations of race in the traffic between databases and societies

Business · Corporate governance · Economic geography · Geography · Political economy · Political science · Politics · Sociology · Computer Science · Gender Studies · Law · Race, Genetics, and Society

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