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首页> 外文期刊>digital scholarship in the humanities >From a distance 'You might mistake her for a man': A closer reading of gender and character action in Jane Eyre, The Law and the Lady, and A Brilliant Woman
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From a distance 'You might mistake her for a man': A closer reading of gender and character action in Jane Eyre, The Law and the Lady, and A Brilliant Woman

机译:从远处看“你可能会把她误认为是男人”:仔细阅读《简·爱》、《法律与淑女》和《一个聪明的女人》中的性别和性格行为

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摘要

This research examines and contributes to recent work by Matthew Jockers and Gabi Kirilloff on the relationship between gender and action in the nineteenth-century novel. Jockers and Kirilloff use dependency parsing to extract verb and gendered pronoun pairs ('he said', 'she walked', etc.). They then build a classification model to predict the gender of a pronoun based on the verb being performed. This present study examines the novels that were categorized as outliers by the classification model to gain a better understanding of the way the observed trends function at the level of individual narratives. We argue that while the classifier successfully categorized and identified novels in which characters behave unconventionally-that is, in ways not typical to the corpus as a whole-the rhetorical effects of these unconventional novels (and the extent to which their authors openly question nineteenth-century gender norms) vary based on other factors of characterization and narration. We propose that the combination of machine and human reading that this essay utilizes provides a productive model for allowing distant reading to guide and provoke traditional humanities scholarship.
机译:本研究考察了马修·乔克斯(Matthew Jockers)和加比·基里洛夫(Gabi Kirilloff)最近关于十九世纪小说中性别与行动之间关系的工作,并为其做出了贡献。Jockers 和 Kirilloff 使用依赖解析来提取动词和性别代词对(“他说”、“她走了”等)。然后,他们建立一个分类模型,根据正在执行的动词来预测代词的性别。本研究考察了被分类模型归类为异常值的小说,以更好地理解观察到的趋势在个人叙事层面的运作方式。我们认为,虽然分类器成功地对小说中的人物行为进行了非常规的分类和识别——也就是说,以整个语料库不典型的方式——但这些非常规小说的修辞效果(以及它们的作者公开质疑 19 世纪性别规范的程度)因其他特征和叙述因素而异。我们认为,本文利用的机器和人类阅读的结合提供了一个富有成效的模型,允许远程阅读指导和激发传统的人文学科学术。

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