Personal memory and distant reading can complement each other: a reply to Gillon

We respond to Gillon's critique of our data-driven analysis of the history of <i>Journal of Medical Ethics</i> (<i>JME</i>), 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 <i>JME</i>'s second (and longest serving) editor, challenges several of our findings, particularly those concerning the prominence and classification of topics such as <i>Ethics education</i> 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. Rather than viewing computational models and editorial memory as competing sources of insight, we propose that they are complementary: each illuminates different dimensions of the journal's evolution. Gillon's engagement with our work ultimately highlights the importance of methodological transparency and the value of combining digital humanities tools with lived experience in the historiography of academic disciplines.

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Publication Details

Journal
Journal of Medical Ethics
Published
2025-09-04
DOI
https://doi.org/10.1136/jme-2025-111310
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Personal memory and distant reading can complement each other: a reply to Gillon

Tomasz Żuradzki, Vilius Dranseika, Piotr Bystranowski
Journal of Medical Ethics
Computational and Text Analysis Methods
article

Personal memory and distant reading can complement each other: a reply to Gillon

Tomasz Żuradzki, Vilius Dranseika, Piotr Bystranowski
article en

Abstract

We respond to Gillon's critique of our data-driven analysis of the history of <i>Journal of Medical Ethics</i> (<i>JME</i>), 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 <i>JME</i>'s second (and longest serving) editor, challenges several of our findings, particularly those concerning the prominence and classification of topics such as <i>Ethics education</i> 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. Rather than viewing computational models and editorial memory as competing sources of insight, we propose that they are complementary: each illuminates different dimensions of the journal's evolution. Gillon's engagement with our work ultimately highlights the importance of methodological transparency and the value of combining digital humanities tools with lived experience in the historiography of academic disciplines.

Journal of Medical Ethics
Jagiellonian University (PL), Max Planck Institute for Behavioral Economics (DE)
Horizon 2020 Framework Programme, H2020 European Research Council
Openalex Percentile: Top 66%
Computational and Text Analysis Methods
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