Perplexing Metamorphoses of the Demarcation Problem.

In their recent paper in Theoria, Hirvonen and Karisto present an analysis of the differences between traditional and contemporary approaches to the demarcation problem. They put forward a diagnosis according to which the traditional approaches depend on six assumptions regarding the nature of the p...

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Publicado en:Theoria: A Swedish Journal of Philosophy Vol. 91; no. 4; pp. 1 - 7
Autor principal: Vecsey, Zoltán
Formato: Artículo
Publicado: Wiley-Blackwell Aug2025
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Perplexing Metamorphoses of the Demarcation Problem.
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        au: Vecsey, Zoltán
        affil: MTA‐SZTE‐DE Research Group for Theoretical Linguistics and Informatics, Szeged, Hungary
      su:
        Pseudoscience
        Vagueness (Philosophy)
        Popper, Karl Raimund, Sir, 1902-1994
        Empirical research
        Philosophy of science
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        subj:
          Pseudoscience
          Vagueness (Philosophy)
          Popper, Karl Raimund, Sir, 1902-1994
          Empirical research
          Philosophy of science
      keyword:
        demarcation
        pseudoscience
        psychological level
        science
        traditional assumptions
        vagueness
      ab: In their recent paper in Theoria, Hirvonen and Karisto present an analysis of the differences between traditional and contemporary approaches to the demarcation problem. They put forward a diagnosis according to which the traditional approaches depend on six assumptions regarding the nature of the problem. In their view, all of these assumptions may be regarded as unnecessary. They conclude that the traditional approaches can be discarded without thereby giving up on the demarcation problem. I shall argue that, although Hirvonen and Karisto's diagnosis is helpful in certain respects, their conclusion may be questioned.
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    language: English
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      custom: Copyright of Theoria: A Swedish Journal of Philosophy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
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