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We respond to Gillon's critique of our data-driven analysis of the history of (), in which we used a topic model to trace intellectual trends in the journal's first 50 years. Gillon, drawing on his personal memories as 's second (and longest serving) editor, challenges several of our findings, particularly those concerning the prominence and classification of topics such as In this reply, we clarify misunderstandings that led to part of his criticisms of our method. At the same time, we also briefly discuss some nuances of topic modelling, in particular, its reliance on simplified representations of text, sensitivity to modeling choices and topic interpretations.
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