Dante's Monarchia as a test case for the use of phylogenetic methods in stemmatic analysis.

Dante's Monarchia, a fourteenth century treatise on political theory which survives in 20 manuscripts and the editio princeps, has been studied extensively by scholars using traditional analytical methods to establish textual transmission. It was selected as a suitable tradition for a blind study to...

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Publicado en:Literary & Linguistic Computing Vol. 23; no. 4; pp. 443 - 464
Autores principales: Windram, Heather F., Shaw, Prue, Robinson, Peter, Howe, Christopher J.
Formato: Artículo
Publicado: Oxford University Press / USA Dec2008
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Windram, Heather F.
          Shaw, Prue
          Robinson, Peter
          Howe, Christopher J.
        affil:
          Department of Biochemistry, University of Cambridge, Cambridge, UK
          Department of Italian, University College London, London, UK
          Institute for Textual Scholarship and Electronic Editing, Graduate Institute of Theology and Religion, University of Birmingham, Birmingham, UK
      su:
        Monarchianism
        Political theology
        Manuscripts
        Scholars
        Transmission of texts
        Copying
        Phylogeny
        DNA
        Nucleotide sequence
      sug:
        subj:
          Monarchianism
          Political theology
          Manuscripts
          Scholars
          Transmission of texts
          Copying
          Phylogeny
          DNA
          Nucleotide sequence
      ab: Dante's Monarchia, a fourteenth century treatise on political theory which survives in 20 manuscripts and the editio princeps, has been studied extensively by scholars using traditional analytical methods to establish textual transmission. It was selected as a suitable tradition for a blind study to test the application of computer-based phylogenetic methods to the stemmatic analysis of manuscript relationships. Our results show that these methods-maximum parsimony, NeighborNet and the Supernetwork algorithm—are capable of producing stemmata in very close agreement with those produced by traditional stemmatic analysis, including the identification of texts that change exemplar in the course of copying. The phylogenetic methods can correctly indicate the affiliations both before and after the point of exemplar change. The maximum chi- squared method (developed to detect recombination in DNA sequences) is able to indicate the region of exemplar change, allowing the precise location to be ascertained by textual analysis.
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    language: English
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