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La memoria personal y la lectura a distancia pueden complementarse: una respuesta a Gillon

Vilius Dranseika¹, Piotr Bystranowski^2,3, Tomasz Żuradzki^2,4

¹Interdisciplinary Centre for Ethics, Jagiellonian University, Kraków, Poland vilius.dranseika@uj.edu.pl.

Journal of medical ethics

|September 4, 2025

Resumen

Este estudio aborda las críticas de un análisis basado en datos del Journal of Medical Ethics. Propone combinar el modelado de temas computacionales con la memoria editorial para una comprensión más rica de la historia intelectual de la revista.

Área de la Ciencia:

Ética médica
Humanidades digitales
Historiografía

Sus antecedentes:

Un análisis basado en datos utilizó el modelado de temas para rastrear las tendencias intelectuales en el Journal of Medical Ethics (JME) durante sus primeros 50 años.
El estudio se enfrentó a la crítica de un ex editor, desafiando los hallazgos sobre temas como la educación ética.

Objetivo del estudio:

Para responder a las críticas con respecto al análisis basado en datos de la historia de JME.
Para aclarar los malentendidos con respecto a la metodología de modelado de temas.
Proponer un enfoque complementario que integre métodos computacionales y memoria editorial.

Principales métodos:

Modelado de temas para analizar las tendencias intelectuales en el contenido publicado de JME.
Respuesta cualitativa que aborda las críticas y matices metodológicos específicos.
Análisis comparativo de conocimientos computacionales y experiencia editorial histórica.

Principales resultados:

Aclaración de los malentendidos que en parte alimentaron la crítica.
Discusión de las limitaciones del modelado de temas, incluida la representación del texto y la sensibilidad a la interpretación.
Identificación de la educación ética como un tema clave que requiere una clasificación matizada.

Conclusiones:

Los modelos computacionales y la memoria editorial ofrecen perspectivas complementarias, en lugar de competir, en la evolución de las revistas académicas.
La transparencia metodológica es crucial en la investigación de las humanidades digitales.
La combinación de herramientas digitales con la experiencia vivida mejora la historiografía de las disciplinas académicas.

Palabras clave:

Ética y medicina

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