Modeling the structure of recent philosophy.

This paper presents an approach of unsupervised learning of clusters from a citation database, and applies it to a large corpus of articles in philosophy to give an account of the structure of the discipline. Following a list of journals from the PhilPapers-archive, 68,152 records were downloaded fr...

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Publicado en:Synthese Vol. 198; no. 6; pp. 5089 - 5101
Autor principal: Noichl, Maximilian
Formato: Artículo
Publicado: Springer Nature Jun2021
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Modeling the structure of recent philosophy.
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        au: Noichl, Maximilian
        affil: University of Vienna, Vienna, Austria
      su:
        Structuralism
        Analytic philosophy
        Electronic data processing
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        subj:
          Structuralism
          Analytic philosophy
          Electronic data processing
      keyword:
        Bibliometrics
        Continental philosophy
        hDBSCAN
        Metaphilosophy
        UMAP
      ab: This paper presents an approach of unsupervised learning of clusters from a citation database, and applies it to a large corpus of articles in philosophy to give an account of the structure of the discipline. Following a list of journals from the PhilPapers-archive, 68,152 records were downloaded from the Reuters Web of Science-Database. Their citation data was processed using dimensionality reduction and clustering. The resulting clusters were identified, and the results are graphically represented. They suggest that the division of analytic and Continental philosophy in the considered timespan is overstated; that analytical, in contrast to Continental philosophy does not form a coherent group in recent philosophy; and that metaphors about the disciplinary structure should focus on the coherence and interconnectedness of a multitude of smaller and larger subfields.
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    language: English
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