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Transgenes and transgressions: scientific dissent as heterogeneous practice. | LitMetric

AI Article Synopsis

  • Scholars have yet to create a unified theory of scientific dissent, despite examining various aspects of scientific controversies.
  • The paper suggests that scientific dissent involves diverse practices and introduces a processual model that highlights the dynamics between dominant scientific views and contrarian science.
  • Using the case of transgenic DNA in Mexican maize and the actions of Professor Ignacio Chapela, the study illustrates how concepts like 'impedance' and various dissenting strategies can reshape the relationships between scientists, the public, institutions, and the political landscape of knowledge production.

Article Abstract

Although scholars in science and technology studies have explored many dynamics and consequences of scientific controversy, no coherent theory of scientific dissent has emerged. This paper proposes the elements of such a framework, based on understanding scientific dissent as a set of heterogeneous practices. I use the controversy over the presence of transgenic DNA in Mexican maize in the early 2000s to point to a processual model of scientific dissent. 'Contrarian science' includes knowledge claims that challenge the dominant scientific trajectory, but need not necessarily lead to dissent. 'Impedance' represents efforts to undermine the credibility of contrarian science (or contrarian scientists) and may originate within or outside of the scientific community. In the face of impedance, contrarian scientists may become dissenters. The actions of the scientist at the center of the case study, Professor Ignacio Chapela of the University of California, Berkeley, demonstrate particular practices of scientific dissent, ranging from 'agonistic engagement' to 'dissident science'. These practices speak not only to functional strategies of winning scientific debate, but also to attempts to reconfigure relations among scientists, publics, institutions, and politics that order knowledge production.

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Source
http://dx.doi.org/10.1177/0306312708089716DOI Listing

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