Re-learning to Labour: Caring Knowledge in the Handling of Algorithms Among Riders
DOI:
https://doi.org/10.3989/dra.2023.001dKeywords:
platform economy, algorithms, riders, feminist economy, ethics of care, knowledge productionAbstract
In this paper we analyze how food-delivery riders are relearning to labour in the platform economy. At the intersection of feminist economy and Science and Technology Studies, our fieldwork tracks the practices, tactics and knowledge that riders produce around the algorithm. We focus on the collective production of knowledge for two reasons: first, because, given the opacity that characterizes these platforms, placing knowledge at the center allows us to make the relationships that sustain their work visible, those that the algorithms make invisible, but without which they would not be able to operate. Second, because they allow us to understand the worlds of algorithms not as closed worlds, but as social relations that concern and occupy the riders, and whose handling can become a matter of care.
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Beck, Vanessa y Paul Brook. 2020. «Solidarities in and Through Work in an Age of Extremes». Work, Employment and Society 31(1): 3-17. https://doi.org/10.1177/0950017019881566
Bellacasa, María P. 2011. «Matters of Care in Technoscience: Assembling Neglected Things». Social Studies of Science 41(1): 85-106. https://doi.org/10.1177/0306312710380301 PMid:21553641
Cant, Callum. 2020. Riding for Deliveroo: Resistance in the New Economy. Cambridge: Polity Press.
Carrasco, Cristina (ed.). 2014. Con voz propia: La economía feminista como apuesta teórica y política. Madrid: La Oveja Roja.
Cini, Lorenzo. 2022. «Resisting Algorithmic Control: Understanding the Rise and Variety of Platform Worker Mobilisations». New Technology, Work and Employment 1-20. https://doi.org/10.1111/ntwe.12257
Diz, Carlos. 2016. «Objetos tirados, objetos sagrados. Reapropiación tecnológica de la bicicleta». Antropología Experimental 16: 148-165. https://doi.org/10.17561/rae.v0i16.3022
Federici, Silvia. 2018. El patriarcado del salario. Madrid: Traficantes.
Ferrari, Fabian y Mark Graham. 2021. «Fissures in Algorithmic Power: Platforms, Code, and Contestation». Cultural Studies 35(4-5): 814-832. https://doi.org/10.1080/09502386.2021.1895250
Fisher, Berenice y Joan Tronto. 1990. «Toward a Feminist Theory of Caring». En E. Abel y M. Nelson (eds.), Circles of Care: 5-61. Nueva York: University of New York Press.
Garcés, Marina. 2020. Escuela de aprendices. Barcelona: Galaxia Gutenberg.
Haraway, Donna. 1991. «Situated Knowledges. The Science Question in Feminism and the Privilege of Partial Perspective», en Donna Haraway, Simians, Cyborgs, and Women: 184-201. New York: Routledge.
Latour, Bruno. 1987. Science in Action. Cambridge: Harvard University Press.
Latour, Bruno. 2004. «Why has Critique Run out of Steam? From Matters of Fact to Matters of Concern». Critical inquiry 30(2): 225-248. https://doi.org/10.1086/421123
Pérez Orozco, Amaia. 2012. «Crisis multidimensional y sostenibilidad de la vida». Investigaciones Feministas 1: 29-53.
Pink, Sarah, Heather Host, John Postill, Larissa Hjorth, Tania Lewis y Jo Tacchi 2019. Etnografía digital. Principios y práctica. Madrid: Ediciones Morata.
Popan, Cosmin. 2021. «Embodied Precariat and Digital Control in the "Gig Economy": The Mobile Labor of Food Delivery Workers». Journal of Urban Technology 1-20. https://doi.org/10.1080/10630732.2021.2001714
Savransky, Martin y Martín Tironi. 2021. «Decolonizing the Imagination in Times of Crisis. Gestures for Speculative Thinking-Feeling». Diseña 19, Interview 2.
Scott, James. 1985. Weapons of the Weak. New Haven: Yale University Press.
Seaver, Nick. 2017. «Algorithms as Culture: Some Tactics for the Ethnography of Algorithmic Systems». Big Data & Society 4(2): 1-12. https://doi.org/10.1177/2053951717738104
Shapiro, Aaron. 2018. «Between Autonomy and Control: Strategies of Arbitrage in the "On-Demand" Economy». New Media & Society 20(8): 2954-2971. https://doi.org/10.1177/1461444817738236
Sheller, Mimi. 2020. Mobility Justice. Londres: Verso. https://doi.org/10.4337/9781788115469.00007
Srnicek, Nick. 2016. Platform capitalism. Cambridge: Polity.
Tassinari, Ariana y Vincenzo Maccarrone. 2020. «Riders on the Storm: Workplace Solidarity Among Gig Economy Couriers in Italy and the UK». Work, Employment and Society 34(1): 35-54. https://doi.org/10.1177/0950017019862954
Valenduc, Gérad. 2019. «New forms of Work and Employment in the Digital Economy», en Amparo Serrano-Pascual y Maria Jepsen (eds.), The Deconstruction of Employment as a Political Question: 63-80. Palgrave. https://doi.org/10.1007/978-3-319-93617-8_3
Vecchio, Giovanni, Ignacio Tiznado-Aitken, Camila Albornoz y Martín Tironi. 2022. «Delivery Workers and the Interplay of Digital and Mobility (in)justice». Digital Geography and Society 3, 100036. https://doi.org/10.1016/j.diggeo.2022.100036
Velkova, Julia y Anne Kaun. 2019. «Algorithmic Resistance: Media Practices and the Politics of Repair». Information, Communication & Society 24(4): 523-540. https://doi.org/10.1080/1369118X.2019.1657162
Yu, Zizheng, Emiliano Treré y Tiziano Bonini. 2022. «The Emergence of Algorithmic Solidarity: Unveiling Mutual Aid Practices and Resistance Among Chinese Delivery Workers». Media International Australia 183(1): 107-123. https://doi.org/10.1177/1329878X221074793
Willis, Paul. 1977. Learning to Labour. New York: Columbia University Press.
Woodcock, James. 2021. The Fight Against Platform Capitalism. Londres: University of Westminster Press. https://doi.org/10.2307/j.ctv1ktbdrm
Ziewitz, Malte. 2017. «A not quite Random Walk: Experimenting with the Ethnomethods of the Algorithm». Big Data & Society 4(2): 1-13. https://doi.org/10.1177/2053951717738105
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Ministerio de Ciencia e Innovación
Grant numbers PID2020-115170RB-100
