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【在维多利亚时代描绘中国:《庞奇》杂志、权力与政治】 書評

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  埃米·马瑟森(Amy Matthewson)的新作《Cartooning China: Punch, Power, & Politics in the Victorian Era》是维多利亚时代英国漫画媒体中的中国形象研究的重要里程碑。本书以英国知名讽刺杂志《Punch》在1841年至1901年间长达60年的中国漫画为研究对象,透过细读图像和文本,展现了英国社会如何想象和论述"他者"。作者将这些漫画置于彼时政治、外交、文化语境中审视,重构了中英两国在视觉文化层面的权力博弈过程,为我们理解两国关系的复杂性和多样性提供了新的路径。 这些充满政治隐喻和种族偏见的插图,在反映和塑造对中国认知和态度方面发挥了强大作用。维多利亚时代英国媒体中的中国形象一直是文化研究领域的重要议题。Colin Mackerras的《Western Images of China》(1989)等早期研究多聚焦于文学作品和旅行书写。随着文化史研究的兴起,学者们逐渐将目光转向大众媒体,尤其是漫画和讽刺图像,如Fang-long Shih等编辑的论文集《Racism and Modernity》(2011)开启了对《Punch》杂志中国漫画的专门探讨。 Matthewson在前人研究的基础上,著力梳理《Punch》长达六十年的系列漫画,填补了学界对这一议题的空白。本书的一大创新在于采用了跨学科的研究视角,结合了文化研究、政治史、中国研究等多个领域的理论和方法。作者不仅深入分析图像和文本中的隐喻与修辞,挖掘其意识形态内涵;同时还将漫画放置在更宏观的中英互动脉络中解读,展现了两国在跨文化语境中的冲突、协商与想象。作者还广泛征引Robert Bickers的《The Scramble for China》(2011)等历史档案、外交文书等第一手资料,有效印证了图像分析,极大提升了研究的说服力。 相较于前人聚焦于文学作品和游记的研究,本书在资料的系统性和完整性上有显著提升。作者勾勒出一幅英国社会视域中的中国形象变迁图景,不仅深化了我们对《Punch》杂志系列中国漫画的理解,也为相关领域研究提供了丰富素材。本书采取的跨学科研究进路和对图像材料的重视,正如Joe Kember主编的《Comic Empires》(2020)所示,代表了帝国主义语境下漫画研究的新趋向。Sarah Che...
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伦敦大学学院暑校 UCL Summer School

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Every year, UCL welcomes students from universities around the world to study for 3 or 6 weeks in July and August. 每年，UCL都欢迎来自世界各地大学的学生在7月和8月进行为期3周或6周的学习。 With a wide range of undergraduate credit-bearing modules on offer from many of our renowned academic departments, you can choose the subject best suited to your academic or personal interests. 我们的许多著名学术部门提供广泛的本科学分模块，您可以选择最适合您的学术或个人兴趣的科目。 Modules are taught on the Bloomsbury campus, and many make use of London as a learning environment with excursions and fields trips in and around the city.模块在布卢姆斯伯里校区教授，许多人利用伦敦作为学习环境，在城市内外进行短途旅行和实地考察。 UCL offers accommodation in the heart of London and the Summer School also offers a programme of social and cultural events to help you make the most of your time in the capital. UCL 在伦敦市中心提供住宿，暑期学校还提供社交和文化活动计划，帮助您充分利用在首都的时间。 UCL is consistently ranked among the world's top universities (ranked #8 in the world overall, QS 2022) and the UCL Summer School offers students a unique opportunity to exper...
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why ChatGPT is faster in English than in Chinese?

​ As an AI language model, my performance in different languages can vary depending on various factors. Here are some reasons why I might be faster in English than in Chinese: Training data: My model is trained on a diverse range of text sources, but the majority of these sources are in English. As a result, my familiarity and proficiency with English is generally higher than that with Chinese, which could lead to faster response times. Complexity of language: Chinese is a logographic language with a large number of unique characters, whereas English uses an alphabetic system with only 26 letters. The complexity and sheer number of characters in Chinese can increase processing time compared to English. Sentence structure: English and Chinese have different grammatical structures and rules. English is a subject-verb-object (SVO) language, while Chinese is a subject-verb-object (SVO) language with more flexible word order. This flexibility can sometimes make Chinese more challenging to p...
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