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    <front>
        <journal-meta>
            <journal-id journal-id-type="publisher-id">entropia</journal-id>
            <journal-title-group>
                <journal-title>Revista Entropía Educativa</journal-title>
                <abbrev-journal-title>Rev. Entropía Educ.</abbrev-journal-title>
            </journal-title-group>
            <issn pub-type="epub">2981-4723</issn>
            <publisher>
                <publisher-name>Entropía Educativa CI SAS</publisher-name>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.5281/zenodo.23507083</article-id>
            <title-group>
                <article-title xml:lang="es">Ni cyborg ni centauro: hacia un modelo mayéutico. De colaboración humano-IA en la escritura en ciencia política</article-title>
                <trans-title-group xml:lang="en">
                    <trans-title>Neither cyborg nor centaur: toward a maieutic model of human–AI collaboration in political science writing</trans-title>
                </trans-title-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Rinaldi</surname>
                        <given-names>Sebastián</given-names>
                    </name>
                    <aff>
                        <institution>Universidad del CEMA</institution>
                    </aff>
                    <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9472-1508</contrib-id>
                </contrib>
            </contrib-group>
            <pub-date date-type="pub" publication-format="electronic">
                <day>04</day>
                <month>08</month>
                <year>2026</year>
            </pub-date>
            <volume>4</volume>
            <issue>7</issue>
            <abstract xml:lang="es">
                <p>La escritura argumentativa cumple un papel fundamental en la producción del conocimiento en la ciencia política. Como acto que constituye al sujeto que escribe y determina su participación efectiva en la comunidad disciplinar de pertenencia, se encuentra en profunda tensión ante la irrupción de la inteligencia artificial generativa-IAGen. En el presente trabajo se describen los modelos disponibles de colaboración entre el autor y la IAGen en la escritura académica, clasificados según ejes analíticos referidos a la delegación de la prosa, la división del trabajo, el lugar de la autoría, el ingreso de texto generado al manuscrito y el riesgo de integridad. El estudio es de carácter teórico-conceptual y combina el análisis conceptual con la construcción tipológica sobre un cuerpo de modelos presentes en la literatura, sin recurrir a datos empíricos primarios. De esa descripción emerge la necesidad de plantear un modelo alternativo, ya que todos los disponibles admiten, en distinta medida, el ingreso de texto generado por la máquina al manuscrito. En tal sentido, se propone y caracteriza el modelo mayéutico, en el que la IAGen ocupa el lugar de un interlocutor adversarial que objeta, contraargumenta e interroga sin que ninguno de sus enunciados ingrese a la producción escrita. Se concluye que, en una disciplina cuyo conocimiento es disputado, un modelo no delegativo preserva la autoría y la voz situada de quien escribe a la vez que aprovecha la herramienta.&amp;amp;nbsp;</p>
            </abstract>
            <trans-abstract xml:lang="en">
                <p>Argumentative writing plays a fundamental role in the production of knowledge in political science. As an act that constitutes the writing subject and determines their effective participation in the disciplinary community to which they belong, it stands in deep tension with the emergence of generative artificial intelligence-GenAI. This article describes the available models of collaboration between the author and GenAI in academic writing, classified according to analytical axes concerning the delegation of prose, the division of labour, the locus of authorship, the entry of generated text into the manuscript, and the risk to integrity. The study is theoretical-conceptual in nature and combines conceptual analysis with typological construction based on a corpus of models present in the literature, without drawing on primary empirical data. From this description emerges the need to propose an alternative model, since all available models allow, to varying degrees, the entry of machine-generated text into the manuscript. Accordingly, the article proposes and characterizes the maieutic model, in which GenAI takes the place of an adversarial interlocutor that objects, counterargues, and questions without any of its statements entering the written work. It concludes that, in a discipline whose knowledge is contested, a non-delegative model preserves the authorship and the situated voice of the writer while still drawing on the tool.</p>
            </trans-abstract>
            <kwd-group xml:lang="es">
                <kwd>escritura académica; inteligencia artificial generativa; ciencia política; autoría; modelo mayéutico</kwd>
            </kwd-group>
            <kwd-group xml:lang="en">
                <kwd>academic writing; generative artificial intelligence; political science; authorship; maieutic model</kwd>
            </kwd-group>
        </article-meta>
    </front>
    <back>
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