用量化方法分析17世纪西班牙戏剧中的性别刻画差异
Computational Analysis of Gender Depiction in the Comedias of Calderón de la Barca
- 通过性别分类模型识别对话中最具性别特征的语言元素
- 模型对男女角色的区分准确率达f=0.83，可有效识别跨性别角色
- 揭示了戏剧中性别表达的语义模式，适合人文数字研究者参考
在戏剧中，剧作家通过人物塑造探讨基于文化的性别规范。本文提出定量方法，分析17世纪西班牙著名剧作家佩德罗·卡尔德隆·德·拉巴尔卡的百余部世俗喜剧作品中的性别刻画。通过构建性别分类模型并结合可解释性分析（归因方法），识别出影响模型判断为‘男性’或‘女性’的文本特征，以人类可读方式揭示其戏剧中最具性别特征的对话元素。研究发现，男女角色呈现显著差异，模型可实现较高预测准确率（最高f=0.83）。分析还揭示了性别表达的语义特征，并表明模型能相对准确地进行逐场景的跨性别角色预测。
原文摘要 · Abstract (English)
In theatre, playwrights use the portrayal of characters to explore culturally based gender norms. In this paper, we develop quantitative methods to study gender depiction in the non-religious works (comedias) of Pedro Calderón de la Barca, a prolific Spanish 17th century author. We gather insights from a corpus of more than 100 plays by using a gender classifier and applying model explainability (attribution) methods to determine which text features are most influential in the model's decision to classify speech as 'male' or 'female', indicating the most gendered elements of dialogue in Calderón's comedias in a human accessible manner. We find that female and male characters are portrayed differently and can be identified by the gender prediction model at practically useful accuracies (up to f=0.83). Analysis reveals semantic aspects of gender portrayal, and demonstrates that the model is even useful in providing a relatively accurate scene-by-scene prediction of cross-dressing characters.
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