Evidence map›Paper›PMID 37978156›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2024

Thomas S. Kuhn: key to a better understanding of the extended evolutionary synthesis.

Koen B Tanghe

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Article in Theory in biosciences = Theorie in den Biowissenschaften, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 author.

Koen B TangheUGent, Philosophy and Moral Sciences, Blandijnberg 2, Ghent, Belgium. kbt.ugent@gmail.com.ORCID http://orcid.org/0000-0002-5090-4767

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6 · The paper itself

Abstract

In recent years, some scholars have explicitly questioned the desirability or utility of applying the classical and "old-fashioned" theories of scientific change by the likes of Karl Popper and Thomas S. Kuhn to the question of the precise nature and significance of the extended evolutionary synthesis (EES). Supposedly, these twentieth-century philosophers are completely irrelevant for a better understanding of this new theoretical framework for the study of evolution. Here, it will be argued that the EES can be fruitfully interpreted in terms of, as yet, insufficiently considered or even overlooked elements from Kuhn's theory. First, in his original, historical philosophy of science, Kuhn not only distinguished between small and big scientific revolutions, he also pointed out that paradigms can be extended and reformulated. In contrast with what its name suggests, the mainstream EES can be interpreted as a Kuhnian reformulation of modern evolutionary theory. Second, it has, as yet, also been overlooked that the EES can be interpreted in terms of Kuhn's later, tentative evolutionary philosophy of science. With the EES, an old dichotomy in evolutionary biology is maybe being formalized and institutionalized.

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Extended evolutionary synthesisKuhnModern synthesisParadigmReformulationStandard evolutionary theory

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.