Thornham, HM orcid.org/0000-0003-1302-6579 and Gómez Cruz, E (2018) Not just a number? NEETs, data and datalogical systems. Information, Communication and Society, 21 (2). pp. 306-321. ISSN 1369-118X
Abstract
This paper draws on empirical research with NEET populations (16–24-year-olds not in education, employment or training) in the U.K. in order to engage with issues around identification, data and metrics produced through datalogical systems. Our aim is to bridge contemporary discourses around data, digital bureaucracy and datalogical systems with empirical material drawn from a long-term ethnographic project with NEET groups in Leeds, U.K. in order to highlight the way datalogical systems ideologically and politically shape people’s lives. We argue that NEET is a long-standing data category that does work and has resonance within wider datalogical systems. Secondly, that these systems are decision-making and far from benign. They have real impact on people’s lives – not just in a straightforwardly, but in obscure, complex and uneven ways which makes the potential for disruption or intervention increasingly problematic. Finally, these datalogical systems also implicate and are generated by us, even as we seek to critique them.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2017, Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in Information, Communication and Society on 23 January 2017, available online: https://doi.org/10.1080/1369118X.2017.1279204 |
Keywords: | Data, datalogical system, NEET, metrification |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Arts, Humanities and Cultures (Leeds) > School of Media & Communication (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/K003585/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Jun 2017 12:28 |
Last Modified: | 23 Jul 2018 00:38 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/1369118X.2017.1279204 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110598 |