Drift beyond Wright-Fisher.

Several recent arguments by philosophers of biology have challenged the traditional view that evolutionary factors, such as drift and selection, are genuine causes of evolutionary outcomes. In the case of drift, advocates of the statistical theory argue that drift is merely the sampling error inhere...

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Publicado en:Synthese Vol. 192; no. 11; pp. 3487 - 3508
Autor principal: Clatterbuck, Hayley
Formato: Artículo
Publicado: Springer Nature Nov2015
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Acceso en línea:Ver este registro en EBSCOhost
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        au: Clatterbuck, Hayley
        affil: University of Wisconsin-Madison, 5185 Helen C White Hall, 600 N Park St. Madison 53706 USA
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        Genetic drift
        Philosophy of biology
        Evolutionary theories
        Plausibility (Logic)
        Sampling errors
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          Genetic drift
          Philosophy of biology
          Evolutionary theories
          Plausibility (Logic)
          Sampling errors
      keyword:
        Evolution
        Population genetics
        Semantic view of theories
        Wright-Fisher
      ab: Several recent arguments by philosophers of biology have challenged the traditional view that evolutionary factors, such as drift and selection, are genuine causes of evolutionary outcomes. In the case of drift, advocates of the statistical theory argue that drift is merely the sampling error inherent in the other stochastic processes of evolution and thus denotes a mathematical, rather than causal, feature of populations. This debate has largely centered around one particular model of drift, the Wright-Fisher model, and this has contributed to the plausibility of the statisticalists' arguments. However, an examination of alternative, predictively inequivalent models shows that drift is a genuine cause that can be manipulated to change population outcomes. This case study illustrates the influence of methodological assumptions on ontological judgments, particularly the pernicious effect of focusing on a particular model at the expense of others and confusing its assumptions and idealizations for true claims about the phenomena being modeled.
      pubtype: Academic Journal
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    language: English
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