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Beyond resistance: geographies of divergent more-than-human conduct in robotic milking

Bear, Christopher and Holloway, Lewis 2019. Beyond resistance: geographies of divergent more-than-human conduct in robotic milking. Geoforum 104 , pp. 212-221. 10.1016/j.geoforum.2019.04.030
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Abstract

This paper begins to develop a terminology for discussing less-than-convivial more-than-human entanglements. The paper reviews existing work on such relations, showing how they tend to have been conceptualised in terms of animal transgression and resistance. It then develops critiques of these terms, focusing on their problematic representations of animals' actions and subjectivities, and engaging with arguments that non-living nonhumans also need to be considered in conceptualisations of problematic more-than-human situations. Drawing on empirical material from research into automated (or robotic) milking systems (AMS), and the associated relations between machines, humans and cows in specific places, the paper proposes and outlines the concept of divergent conduct. It argues that this is a way of exploring how heterogeneous entities co-produce activity which is likely to differ from accounts of trouble-free introductions of technologies and practices. The concept draws together an emphasis on the 'lively' nature of machines with a focus on the agency of nonhuman animals and the topological relationships involved in attempts to establish AMS in UK dairy farming. It suggests that the characteristics and capacities of heterogeneous entities make multiple and relational differences to situations. As such, the concept emphasises the constitution of AMS in relation to multiple human and nonhuman requirements, and their related conducts, which may pull in different directions. The paper argues that divergent conduct provides a way of exploring problematic and politicised entanglements in which inequalities of power can be many-layered and intersectional.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Geography and Planning (GEOPL)
Publisher: Elsevier
ISSN: 0016-7185
Date of First Compliant Deposit: 9 May 2019
Date of Acceptance: 29 April 2019
Last Modified: 07 Nov 2019 09:01
URI: http://orca-mwe.cf.ac.uk/id/eprint/122309

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