The internal structure of medieval Latin legendaries: a computational analysis.

Since the middle of the 17th century, scholars have been systematically describing numerous medieval manuscripts preserved in libraries and religious institutions that contain hagiographic texts, that is texts recounting the lives of saints. In this article, we apply quantitative tools to the result...

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Publicado en:Digital Scholarship in the Humanities Vol. 39; no. 1; pp. 109 - 124
Autores principales: Valeriola, Sébastien de, Dubuisson, Bastien
Formato: Artículo
Publicado: Oxford University Press / USA Apr2024
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The internal structure of medieval Latin legendaries: a computational analysis.
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        au:
          Valeriola, Sébastien de
          Dubuisson, Bastien
        affil:
          QuaDiHum Lab (ReSIC), Université libre de Bruxelles , Brussels, Belgium
          Department of Humanities (IHIST), Université du Luxembourg , Esch-sur-Alzette, Luxembourg
          PaTHs (PraME), Université de Namur , Namur, Belgium
      su:
        Medieval manuscripts
        Seventeenth century
        Religious institutions
        Manuscripts
        Databases
      sug:
        subj:
          Medieval manuscripts
          Seventeenth century
          Religious institutions
          Manuscripts
          Databases
      keyword:
        classification
        computational analysis
        hagiography
        Middle Ages
        visualization
      ab: Since the middle of the 17th century, scholars have been systematically describing numerous medieval manuscripts preserved in libraries and religious institutions that contain hagiographic texts, that is texts recounting the lives of saints. In this article, we apply quantitative tools to the resulting database to consider these codices from a new point of view. As such, we study their internal organization, that is the order in which their texts are arranged. We first present a visualization tool that allows to grasp this structure at a glance. Then, we describe a model to automatically classify manuscripts according to their internal organization, based on a constrained spline regression. The results of this classification task make it possible to identify the manuscripts that have a particular internal organization, called per circulum anni (following the course of the year), and thus to study their properties. Furthermore, they open the possibility to obtain clues regarding the origin of some codices and potential kinship links between them.
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    language: English
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