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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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發(fā)表于 2025-3-21 17:57:56 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Manliness and the Boys’ Story Paper in Britain: A Cultural History, 1855–1940
編輯Kelly Boyd
視頻videohttp://file.papertrans.cn/624/623430/623430.mp4
叢書名稱Studies in Gender History
圖書封面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
關(guān)鍵詞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
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https://doi.org/10.1057/9780230597181comic; cultural history; fiction; gender; Great Britain; social change; William Blake; women
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發(fā)表于 2025-3-22 14:48:26 | 只看該作者
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
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發(fā)表于 2025-3-23 08:48:11 | 只看該作者
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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