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Titlebook: Manliness and the Boys’ Story Paper in Britain: A Cultural History, 1855–1940; Kelly Boyd Book 2003 Kelly Boyd 2003 comic.cultural history

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发表于 2025-3-21 17:57:56 | 显示全部楼层 |阅读模式
书目名称Manliness and the Boys’ Story Paper in Britain: A Cultural History, 1855–1940
编辑Kelly Boyd
视频video
丛书名称Studies in Gender History
图书封面Titlebook: Manliness and the Boys’ Story Paper in Britain: A Cultural History, 1855–1940;  Kelly Boyd Book 2003 Kelly Boyd 2003 comic.cultural history
描述In this pioneering work about the precursor to the comic book, Kelly Boyd traces the evolution of the boys‘ story paper and its impact on the imaginative world of working-class readers. From the penny dreadful and the Boy‘s Own Paper to the tales of Billy Bunter and Sexton Blake, this cultural form shaped ideas about gender, race, class and empire in response to social change. This study is an important analysis of a neglected part of popular culture.
出版日期Book 2003
关键词comic; cultural history; fiction; gender; Great Britain; social change; William Blake; women
版次1
doihttps://doi.org/10.1057/9780230597181
isbn_softcover978-1-349-39536-1
isbn_ebook978-0-230-59718-1Series ISSN 2947-082X Series E-ISSN 2947-0838
issn_series 2947-082X
copyrightKelly Boyd 2003
The information of publication is updating

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Manliness and the Boys’ Story Paper in Britain: A Cultural History, 1855–1940978-0-230-59718-1Series ISSN 2947-082X Series E-ISSN 2947-0838
发表于 2025-3-22 09:48:27 | 显示全部楼层
https://doi.org/10.1057/9780230597181comic; cultural history; fiction; gender; Great Britain; social change; William Blake; women
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ference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a fou
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Kelly Boydference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a fou
发表于 2025-3-23 08:48:11 | 显示全部楼层
Kelly Boydference for the working data miner. In our opinion, three areas of mathematics are vital for data mining: set theory,includingpartially orderedsetsandcombinatorics;linear algebra,with its many applications in principal component analysis and neural networks; and probability theory, which plays a fou
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