Author: Grove, Kevin; Rickards, Lauren; Anderson, Ben; Kearnes, Matthew
Title: The uneven distribution of futurity: Slow emergencies and the event of COVIDâ€19 Cord-id: h4rqm95s Document date: 2021_8_19
ID: h4rqm95s
Snippet: The ongoing COVIDâ€19 pandemic strains conventional temporal imaginaries through which emergencies are typically understood and governed. Rather than a transparent and linear temporality, a smooth transition across the series event/disruption–response–postâ€event recovery, the pandemic moves in fits and starts, blurring the boundary between normalcy and emergency. This distended temporality brings into sharp relief other slow emergencies such as racism, poverty, biodiversity loss, and clim
Document: The ongoing COVIDâ€19 pandemic strains conventional temporal imaginaries through which emergencies are typically understood and governed. Rather than a transparent and linear temporality, a smooth transition across the series event/disruption–response–postâ€event recovery, the pandemic moves in fits and starts, blurring the boundary between normalcy and emergency. This distended temporality brings into sharp relief other slow emergencies such as racism, poverty, biodiversity loss, and climate change, which inflect how the pandemic is known and governed as an emergency. In this article, we reflect on COVIDâ€19 responses in two settler colonial societies—Australia and the United States—to consider how distinct styles of pandemic responses in each context resonate and dissonate across the racially uneven distribution of futurity that structures liberal order. In each case, the event of COVIDâ€19 has indeed opened a window that reveals multiple slow emergencies; yet in these and other responses this revelation is not leading to meaningful changes to address underlying forms of structural violence. In Australia and the United States, we see how specific slow emergencies—humanâ€induced climate change and antiâ€Black violence in White supremacist societies, respectively—become intensified as liberal order recalibrates itself in response to the event of COVIDâ€19.
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