Using Bayesian phylogenetics to infer manuscript transmission history.

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 ph...

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Publicado en:Digital Scholarship in the Humanities Vol. 39; no. 1; pp. 258 - 280
Autores principales: McCollum, Joey, Turnbull, Robert
Formato: Artículo
Publicado: Oxford University Press / USA Apr2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          McCollum, Joey
          Turnbull, Robert
        affil:
          Institute for Religion and Critical Inquiry, Australian Catholic University , Melbourne, VIC, 3065, Australia
          Melbourne Data Analytics Platform, University of Melbourne , Melbourne, VIC, 3010, Australia
      su:
        Transmission of texts
        Bible. Ephesians
        New Testament
        Phylogeny
        Converting (Packaging)
        Textual criticism
        Phylogenetic models
        Proof of concept
      sug:
        subj:
          Transmission of texts
          Bible. Ephesians
          New Testament
          Phylogeny
          Converting (Packaging)
          Textual criticism
          Phylogenetic models
          Proof of concept
      keyword:
        Bayesian inference
        phylogenetics
        TEI XML
        textual criticism
      ab: 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.
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    language: English
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