基于BASE语料库的兴趣标记的学科和性别差异分析
Analysis of Disciplinary and Gender Differences in Interest Markers Based on the BASE Corpus

本研究探讨了学术口语中兴趣表达的学科背景和性别差异。通过采用英国学术口语语料库(BASE)及兴趣框架分析方法，标注了1244条兴趣表达实例，并对各维度进行了定量分析，探讨了学科背景和性别差异对兴趣标记使用的影响。研究结果表明，学科和性别在兴趣框架元素的使用上存在显著差异。软学科的说话者更倾向于将自己呈现为兴趣的体验者，而硬学科则倾向于不直接体现兴趣的体验者。女性更倾向于表达对关系的兴趣，而男性则偏向于研究对象本身。此外，应用学科和女性更偏向于使用强调程度的兴趣表达，而纯学科和男性则更多使用中性表达。本研究通过框架语言学构建了兴趣分析框架，拓展了对立场标记中态度类型的研究，有助于深入理解学科知识形成及性别差异在学术话语中的作用。
This study explores the disciplinary background and gender differences in the expression of interest in academic spoken discourse. By utilizing the British Academic Spoken English Corpus (BASE) and an interest framework analysis method, 1244 instances of interest expressions were annotated and analyzed quantitatively the dimensions. The study investigates the impact of disciplinary background and gender differences on the use of interest markers. The results indicate significant differences in the use of elements of the interest framework across disciplines and genders. Speakers from soft sciences are more likely to present themselves as experiencers of interest, while those from hard sciences tend to be experiencers who do not directly embody interest. Female speakers tend to express interest in relationships, while male speakers are more inclined to focus on the research subject itself. Furthermore, applied science disciplines and female speakers are more likely to use interest expressions with boosted degree, whereas pure disciplines and male speakers prefer more neutral expressions. This study constructs an interest analysis framework through frame semantics, expanding research on attitude types in stance markers, and contributes to a deeper understanding of disciplinary knowledge formation and the role of gender differences in academic discourse.