2006
DOI: 10.1177/0038038506067507
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Geodemographics, Software and Class

Abstract: This article examines some of the implications for the sociological analysis of social class of the migration of geodemographic classifications of various sorts into software systems designed to ‘sort out’ people and places. It begins by offering an overview of the history and development of geodemographic classifications. It then argues that such classifications are increasingly becoming embedded in ‘soft-ware sorting’ procedures of various sorts, which in turn leads to the prospect of ‘automated spatiality’ … Show more

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Cited by 128 publications
(115 citation statements)
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“…Yet in geography, mobility is largely viewed intra-generationally and empirical work has often focused on the relationship between internal rates of migration and class destinations (Fielding 1992;Findlay et al 2009;Champion et al, 2014). Another extensive literature has explored socio-spatial segregation within many major cities, with research on gentrification (Butler 1997), geodemographic classifications (Burrows and Gane 2006), belonging (Benson 2014;Saage et al 2004), gated communities (Atkinson 2004) and ghettoization (Blokland and Savage 2008) , all insisting on the pivotal role of residential differentiation in marking out contemporary class division in Britain. The main limitation of this work, though, is that it ignores the intergenerational dimension of social mobility, and specifically how issues of class origin may affect patterns of migration or residential segregation.…”
Section: Regional Social Mobility In Britainmentioning
confidence: 99%
“…Yet in geography, mobility is largely viewed intra-generationally and empirical work has often focused on the relationship between internal rates of migration and class destinations (Fielding 1992;Findlay et al 2009;Champion et al, 2014). Another extensive literature has explored socio-spatial segregation within many major cities, with research on gentrification (Butler 1997), geodemographic classifications (Burrows and Gane 2006), belonging (Benson 2014;Saage et al 2004), gated communities (Atkinson 2004) and ghettoization (Blokland and Savage 2008) , all insisting on the pivotal role of residential differentiation in marking out contemporary class division in Britain. The main limitation of this work, though, is that it ignores the intergenerational dimension of social mobility, and specifically how issues of class origin may affect patterns of migration or residential segregation.…”
Section: Regional Social Mobility In Britainmentioning
confidence: 99%
“…I T of empirical S B (2007) argue that social scientific interpretations of social life are threatened by accounts derived from commercial and proprietary access to data produced as a byproduct of transactions and other networked activities. Writers involved in these debates argue that the social sciences urgently need to engage with commercial sociology (Burrows and Gane 2006), not only by criticising it, but by collaborating in its production in order to critically assess its epistemological orientations. This argument is also productive of the kinds of data-related anxieties discussed here: to count as a good social scientist, one increasingly feels obliged to These two phenomena of datafication and neoliberalism also come together in higher education through a felt pressure to work with and then visualise big data.…”
Section: Politics: Datafication and Neoliberalismmentioning
confidence: 99%
“…We also consulted NOMIS Official Labour Market Statistics on employment by occupation at ward level and MOSAIC, a consumer--based classification based on in--depth demographic data that that gives an indication of the types of people living in that neighbourhood based on their consumption practices; in other words, where you live can be indicative of you position within the social structure (see Burrows and Gane, 2006). This supplemented our own conceptions and allowed us to build up a more nuanced understanding of each of the neighbourhoods eventually included in the study.…”
Section: Setting the Scenementioning
confidence: 99%