Using Bayesian phylogenetics to infer manuscript transmission history

IF 0.7 3区 文学 0 HUMANITIES, MULTIDISCIPLINARY
Joey McCollum, Robert Turnbull
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引用次数: 0

Abstract

Bayesian phylogenetic methods offer various models that would be especially suitable in the reconstruction of textual traditions, but text-critical applications of phylogenetics to date have generally not taken advantage of these features. In this article, we offer a way forward for text-critical phylogenetics. On the side of theory, we highlight multiple Bayesian phylogenetic models and discuss their relevance to textual criticism. More practically, we show how TEI XML collations of textual traditions can be encoded to facilitate robust analyses using these models in BEAST 2, with the teiphy Python package mediating the conversion from TEI XML to BEAST XML. Finally, we give a proof of concept for this approach, showing that the results of BEAST 2 analyses of a sample collation of the Epistle to the Ephesians under different clock models cohere with established findings on the textual tradition of this work.
利用贝叶斯系统发生学推断手稿传播史
贝叶斯系统发生学方法提供了各种特别适用于重建文本传统的模型,但迄今为止,系统发生学在文本批判方面的应用一般都没有利用这些特点。在本文中,我们将为文本批判系统发生学的发展指明方向。在理论方面,我们强调了多种贝叶斯系统发生学模型,并讨论了它们与文本批评的相关性。更实际的是,我们展示了如何对文本传统的 TEI XML 整理进行编码,以便在 BEAST 2 中使用这些模型进行稳健的分析,并通过 teiphy Python 软件包实现从 TEI XML 到 BEAST XML 的转换。最后,我们给出了这一方法的概念验证,表明 BEAST 2 在不同时钟模型下对《以弗所书》样本校勘的分析结果与该作品文本传统的既定结论是一致的。
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来源期刊
CiteScore
1.80
自引率
25.00%
发文量
78
期刊介绍: DSH or Digital Scholarship in the Humanities is an international, peer reviewed journal which publishes original contributions on all aspects of digital scholarship in the Humanities including, but not limited to, the field of what is currently called the Digital Humanities. Long and short papers report on theoretical, methodological, experimental, and applied research and include results of research projects, descriptions and evaluations of tools, techniques, and methodologies, and reports on work in progress. DSH also publishes reviews of books and resources. Digital Scholarship in the Humanities was previously known as Literary and Linguistic Computing.
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