用计算方法分析文学与类型小说的边界，发现形式特征可区分类别，女性作者更易模糊界限。
Computing the Formal and Institutional Boundaries of Contemporary Genre and Literary Fiction
- 基于语料库对比文学与类型小说的形式特征
- 发现各类型有显著形式标记，女性作者使文学门槛更模糊
- 适合对文学分类、性别与创作研究者参考
尽管类型概念已讨论数千年，但类型小说的兴起为这一议题增添了新维度。传统观点强调形式，而当代研究则结合形式与机构特征进行分类。本研究利用计算方法，基于Andrew Piper的CONLIT数据集，构建了文学小说与类型小说（包括言情、悬疑、科幻）的语料库。通过韦尔奇方差分析比较不同性别作者在各类别中的叙事特征分布，并使用逻辑回归模型评估各特征对文学分类的影响及其受作者性别的调节作用。最后分析风格与语义向量表示，揭示形式与内容在文学分类中的重要性。研究发现各类别存在显著形式标记，且女性作者的创作缩小并模糊了获得文学地位的边界。
原文摘要 · Abstract (English)
Though the concept of genre has been a subject of discussion for millennia, the relatively recent emergence of genre fiction has added a new layer to this ongoing conversation. While more traditional perspectives on genre have emphasized form, contemporary scholarship has invoked both formal and institutional characteristics in its taxonomy of genre, genre fiction, and literary fiction. This project uses computational methods to explore the soundness of genre as a formal designation as opposed to an institutional one. Pulling from Andrew Piper's CONLIT dataset of Contemporary Literature, we assemble a corpus of literary and genre fiction, with the latter category containing romance, mystery, and science fiction novels. We use Welch's ANOVA to compare the distribution of narrative features according to author gender within each genre and within genre versus literary fiction. Then, we use logistic regression to model the effect that each feature has on literary classification and to measure how author gender moderates these effects. Finally, we analyze stylistic and semantic vector representations of our genre categories to understand the importance of form and content in literary classification. This project finds statistically significant formal markers of each literary category and illustrates how female authorship narrows and blurs the target for achieving literary status.
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