Digital Humanities
Digital Humanities
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数字人文
DOI：
10.1007/978-3-319-73080-6_6
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Roopika Risam
中科院分区：
文献类型：
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作者：
Roopika Risam
法律学术在不同学科对数字人文学科的回应中有其独特的地位。长期以来，它依赖于数字化资源的数据库，因此将搜索作为一种研究方法。计算工具提供了解决搜索限制的方法。本章概述了计算工具的使用，以识别法律文本中单词使用和借用的模式以及概念的传播，构建文本中和个人之间的关系网络，可视化空间信息，并创建对象和结构的3D模型，作为发现和解释的方法。这些数字方法提出了关于如何解决不同问题和各种来源的认识论问题，以及需要什么证据来支持特定的主张。计算分析扩展了分析的规模，以及细节和背景的水平，使系统地探索关于什么是典型和代表性以及历史话语的分期的主张成为可能。网络图形和地图以一种超越叙事的复杂程度的方式可视化和测量关系和空间模式。数字人文对所有人文学者的启示是，我们必须重新审视我们的研究和分析实践，并批判性地重新评估我们所做的解释性主张的性质和范围。
Legal scholarship has its own distinctive place in the different disciplinary responses to digital humanities. It has long relied on databases of digitized sources and consequently on search as a research methodology. Computational tools provide means of addressing the limitations of search. This chapter surveys the use of computational tools to identify patterns of word use and borrowing and the diffusion of concepts in legal texts, to construct networks of relationships in texts and between individuals, to visualize spatial information, and to create 3D models of objects and structure as methods for both discovery and interpretation. These digital methods raise epistemological questions about how to address different questions and various kinds of sources, and what evidence is needed to support particular claims. Computational analysis expands the scale of the analysis, and the level of detail and context, making it possible to systematically explore claims about what is typical and representative and the periodization of historical discourses. Network graphs and maps visualize and measure relationships and spatial patterns in ways that capture a degree of complexity beyond what can be rendered in narrative. The implication of digital humanities for all humanities scholars is that we must look anew at our practices of research and analysis and critically reevaluate the nature and scope of the interpretative claims that we make.