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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一个男人”:仔细阅读《简爱》,《法律与女人》和《光荣的女人》中的性别和性格举止

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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:这项研究对Matthew Jockers和Gabi Kirilloff在19世纪小说中性别与行动之间的关系的最新研究进行了研究并做出了贡献。 Jockers和Kirilloff使用依赖项解析来提取动词和性别代词对(“他说”,“她走”等)。然后,他们基于正在执行的动词建立分类模型,以预测代词的性别。本研究考察了通过分类模型归类为离群值的小说,以便更好地了解观察到的趋势在单个叙事水平上的作用方式。我们认为,尽管分类器成功地对小说中人物角色具有非常规行为的小说进行了分类和识别,也就是说,以整体语料库不典型的方式,这些非常规小说的修辞效果(以及作者公开质疑第十九种小说的程度)世纪性别规范)因刻画和叙述的其他因素而异。我们认为,本文所采用的机器阅读和人类阅读相结合,可以提供一种有效的模式,允许远距离阅读来指导和激发传统人文科学。

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