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Well-Behaved Variants Seldom Make the Apparatus: Stemmata and Apparatus in Digital Research

Authors: Barbara Bordalejo;

Well-Behaved Variants Seldom Make the Apparatus: Stemmata and Apparatus in Digital Research

Abstract

This article describes computer-assisted methods for the analysis of textual variation within large textual traditions. It focuses on the conversion of the XML apparatus into NEXUS, a file type commonly used in bioinformatics. Phylogenetics methods are described with particular emphasis on maximum parsimony, the preferred approach for our research. The article provides details on the reasons for favouring maximum parsimony, as well as explaining our choice of settings for PAUP. It gives examples of how to use VBase, our variant database, to query the data and gain a better understanding of the phylogenetic trees. The relationship between the apparatus and the stemma explained. After demonstrating the vast number of decisions taken during the analysis, the article concludes that as much as computers facilitate our work and help us expand our understanding, the role of the editor continues to be fundamental in the making of editions.

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Keywords

Textual Variation, Canterbury Tales, Variation, D111-203, Textual Criticism, Digital Humanities, Stemmatology, Phylogenetics, Computer-Assisted methods, Manuscript Studies, Stemmatics, Scholarly Editing, Medieval history, Textual Scholarship, Chaucer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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5
Top 10%
Top 10%
Average
16
34
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gold