Digital story grammar: a quantitative methodology for narrative analysis
Digital story grammar: a quantitative methodology for narrative analysis
复制标题
数字故事语法：叙事分析的定量方法
DOI：
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发表时间：
2020
影响因子：
3.3
通讯作者：
Ditte Andersen
中科院分区：
文献类型：
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作者：
S. Andrade;Ditte Andersen
摘要数字故事语法是一种将叙事理论与计算机文本分析相结合的方法论。该方法提供了新的方法来确定叙事身份工作中的模式，并检查这些模式与性别和社会阶层等社会结构的关系。DSG通过一种算法来识别由主语、动词和宾语组成的叙事单位。为了证明这种方法的潜力，我们将其应用于对Timeges定性纵向数据档案中的年轻人的采访，并解决了四个研究问题：年轻人故事(人物)中的谁？他们的叙述是关于什么的(经验领域)？它们发生在什么时候(暂时性)？叙事是如何讲述的(代理感)？在其他发现中，我们观察到，中产阶级背景的年轻人比他们的工薪阶层同龄人传递出更强的代理感，我们展示了这与他们从学校到工作轨迹的导航方式之间的相关性。
ABSTRACT Digital story grammar (DSG) is a methodology that combines narrative theory and computerised text analysis. The methodology offers new ways of identifying patterns in narrative identity work and examining how these patterns relate to social structures such as gender and social class. DSG works through an algorithm that identifies narrative units consisting of subjects, verbs and objects. To demonstrate the potential of the methodology, we apply it to interviews with young people from the Timescapes Qualitative Longitudinal Data Archive and address four research questions: Who are in the young people’s stories (characters)? What are their narratives about (domains of experiences)? When do they taking place (temporality)? How are the narratives told (sense of agency)? Among other findings, we observed that young people with middle-class backgrounds convey a stronger sense of agency than their working-class peers, and we show how this correlates with the ways in which they navigate school-to-work trajectories.