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Labour/data justice

A new framework for labour/regulatory datafication

Bibliographic Data

ID11448762
AuthorsDeirdre McCann (Durham Law School Durham University Palatine Centre, Stockton Road Durham DH1 3LE England, corresponding author), Arely Cruz-Santiago (0000-0002-0397-5212, University of Exeter), ARELY CRUZ‐SANTIAGO (Sociology Philosophy and Anthropology Department University of Exeter Amory Building, Rennes Drive Exeter EX4 4RJ England)
Year2022
Volume49
Issue4
Pages658-680
Publication date2022-12-01
Open AccessYes
TypeARTICLE
VenueJournal of Law and Society (JOURNAL)
Journal identifiersISSN: 0263-323X • E-ISSN: 1467-6478
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jols.12392
OpenAlexW4310295606
LanguageEN
Citations received2

Labour datafication – the accelerating quantification of working life, encompassing data use that extracts additional value from workers – is increasingly recognized as a dimension of the future of work. This article proposes a notion of ‘labour/data justice’ to capture both the deterioration of working life at the labour/data nexus and datafied strategies for effective regulation. We examine ‘labour/regulatory datafication’, focusing on conduits to unacceptable work, and argue that data justice scholarship provides interlinked contributions that are vital to a labour/data justice framework. We identify key components of this framework: a global perspective, the centring of human agency, an interest in the datafied pursuit of labour rights, and methodologies that value the agency of research participants and support collaboration and the co‐production of knowledge

Agency (philosophy · Capability approach · Dimension (graph theory · Economic Justice · Economics · Labour economics · Labour law · Law and economics · Nexus (standard · Perspective (graphical · Political science · Public relations · Scholarship · Social science · Sociology · Value (mathematics · Work (physics · Computer Science · Digital Economy and Work Transformation · Employment and Welfare Studies · Engineering · Law

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Citations per year1
Citation span2024 - 2025 (2)
Highly citedNo

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Open DOIOpen Access
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