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            Transcending the Nostalgic

            Landscapes of Postindustrial Europe beyond Representation (Volume 42)

            Thumbnail
            Contributor(s)
            Jaramillo, George S. (editor)
            Tomann, Juliane (editor)
            Collection
            Knowledge Unlatched (KU); KU Focus Collection 2022: Climate Change
            Language
            English
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            Résumé
            Even as the global economy of the twenty-first century continues its dramatic and unpredictable transformations, the landscapes it leaves in its wake bear the indelible marks of their industrial past. Whether in the form of abandoned physical structures, displaced populations, or ecological impacts, they persist in memory and lived experience across the developed world. This collection explores the affective and “more-than-representational” dimensions of post-industrial landscapes, including narratives, practices, social formations, and other phenomena. Focusing on case studies from across Europe, it examines both the objective and the subjective aspects of societies that, increasingly, produce fewer things and employ fewer workers.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/156618
            Keywords
            History; Europe; Social Science; Sociology; Urban; Business & Economics; Economic History
            DOI
            https://doi.org/10.3167/9781800732216
            ISBN
            9781800732865
            Publisher
            Berghahn Books
            Publisher website
            berghahnbooks.com
            Publication date and place
            2021
            Grantor
            • Knowledge Unlatched
            Imprint
            Berghahn Books
            Classification
            European history
            Urban communities
            Economic history
            • OAPEN harvesting collection

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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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