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Charlie Hebdo and the politics of mourning

Authors: Balkan, Osman;

Charlie Hebdo and the politics of mourning

Abstract

This article explores the different forms of mourning that structured the public and political memorialization of the victims and perpetrators of the Paris attacks by analyzing the discourses, ceremonies, and negotiations accompanying their funerals. It argues that political actors employed three distinct strategies of mourning to produce a hierarchy of French subjects organized around a spectrum of grievability. The first strategy, “mourning as erasure,” was characteristic of the funerals of the three terrorists and evinced an active effort by the French state to efface any trace of their memory. The second, “mourning as exclusionary-inclusion,” was exemplified in the ceremonies held in honor of Ahmed Merabet, a police officer mourned as a loyal guardian of the French Republic in terms that maintained his subordinate status as a religious outsider. The third strategy, “mourning as appropriation,” was most pronounced at the funerals of the four victims of the attack on the kosher supermarket Hyper Cacher....

Country
United States
Related Organizations
Keywords

Political Science

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Average
Average
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