Al-Daffaie, Yousif and Abdelmonem, Gamal orcid.org/0000-0002-8271-0924 (2023) Reversing displacement:Navigating the spontaneity of spatial networks of craft, tradition and memory in post-war Old Mosul. Cities. 104559. ISSN 0264-2751
Abstract
The destruction of Mosul's Old Town has led to sudden and unmanaged displacements of different ethnic, cultural and professional communities who departed northern Iraq's medieval trade and cultural centre. While the reconstruction of historic monuments was prioritised for the post-ISIS recovery process, the disappearance of trade, culture, and communities had a more lasting impact on the erasure of memory, traditional practices and social interactions in the Historic Centre. Moving away from the conventions of planned and structured return in post-conflict cities, this paper investigates the growing and unstructured spontaneous processes of displacement, relocation, and rebuilding as an unmanaged process where the central government and the local authority had limited impact on the daily and active return of displaced communities and craftsmen. We argue that the active and interconnected networks of trade, craft communities and livelihoods in the Old City can be activated by individualistic efforts to trigger a spontaneous, yet effective and decentralised approach to post-conflict return in Iraq. This paper navigates local narratives, spaces of memory and spatial patterns of displacement and return, using the observations, spatial mapping, first-hand local narratives and flows of displacement.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier Ltd. |
Dates: |
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Institution: | The University of York |
Depositing User: | Pure (York) |
Date Deposited: | 12 Aug 2024 08:10 |
Last Modified: | 04 Nov 2024 11:20 |
Published Version: | https://doi.org/10.1016/j.cities.2023.104559 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1016/j.cities.2023.104559 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:215948 |
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