JOURNAL ARTICLE
Evelyn & William De Morgan: A Marriage of Arts & Crafts.
Published In: Journal of Design History, 2024, v. 37, n. 1. P. 89 1 of 3
Database: America: History and Life with Full Text 2 of 3
Authored By: Rodrigues, Cátia Costa 3 of 3
Abstract
The article "Evelyn & William De Morgan: A Marriage of Arts & Crafts" provides a comprehensive account of the lives and artistic careers of Evelyn and William De Morgan, two late nineteenth-century artists. The book offers original insights into their work and serves as a synthesis of existing scholarship, making it a valuable resource for researchers. The volume includes a temporary exhibition at the Delaware Art Museum, featuring illustrations and discussions that inform the book. The collection explores the intersection of the Arts and Crafts, late Pre-Raphaelite, and Aesthetic movements, shedding light on the complex partnership between Evelyn and William. The book is divided into sections that cover various aspects of their careers, including their influences, artistic processes, patronage, and engagement with culture and politics. The inclusion of illustrations throughout the book enhances the reading experience and invites further exploration of the De Morgans' art. While the book acknowledges that it only scratches the surface of the couple's historical archive, it aims to inspire further research and understanding of their artistic practices. Overall, "Evelyn & William De Morgan: A Marriage of Arts & Crafts" is a valuable resource for anyone interested in art and design history. [Extracted from the article]
Additional Information
- Source:Journal of Design History. 2024/03, Vol. 37, Issue 1, p89
- Document Type:Article
- Subject Area:Arts and Entertainment
- Publication Date:2024
- ISSN:0952-4649
- DOI:10.1093/jdh/epad003
- Accession Number:177216263
- Copyright Statement:Copyright of Journal of Design History is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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