Emotional Labor in Everyday Resilience: Class-Based Experiences of Navigating Unemployment Amid the COVID-19 Pandemic in the U.S.

Author:

Lu Alex Jiahong1,Gilhool Anna1,Hsiao Joey Chiao-Yin1,Dillahunt Tawanna R.1

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

Abstract

During the COVID-19 global health crisis, institutions, policymakers, and academics alike have called for practicing resilience to overcome its ongoing disruptions. This paper contributes a comparative study of the job search experiences of working-class and upper-middle-class job seekers, particularly in relation to their resilience practices during the pandemic. Drawing from in-depth interviews with 12 working-class and 11 upper-middle-class job seekers in the U.S., we unpack challenges resulting from both the pandemic and unemployment and job seekers' novel practices of navigating these challenges in their everyday disrupted life. Job seekers' ongoing negotiation with their resources, situations, and surroundings gives practical meanings to building everyday resilience, which we theorize as an ongoing process of becoming resilient. While job seekers across classes experienced similar challenges, working-class job seekers took on additional emotional labor in their everyday resilience due to their limited experience in the digital job search space, competition with higher-degree holding job seekers applying for the same jobs, limited social support networks, and at times, isolation. By foregrounding the uneven distribution of emotional labor in realizing the promise of resilience along class lines, this work cautions against the romanticization of resilience and calls for a more critical and nuanced understanding of resilience in CSCW.

Funder

National Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

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