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Volume 23 • Issue 07 • 2024 • Special Issue: Communicating Discovery Science
Introduction: Engagement, education and communication with public audiences have long been seen as important for maximising the benefits of genetics and genomics. An important challenge is how to structure engagement in such a way that recognises the value and legitimacy of diverse public opinions and voices alongside scientific expertise. In other words, how to operationalise the dialogue model of science communication. In order for diverse public voices to be heard it is important to understand the resources that people have to make sense of science on their own terms. In this paper we provide a framework for how people's resources can be identified in relation to the culture they consume. Methods: A cross sectional online survey (n=1407) explored the cultural tastes and practices of a representative British public audience. Latent class analysis identified groups with similar cultural practices. Regression analysis was used to explore the relationship between the latent classes and other measures, such beliefs about genetics. Results: Three latent classes were identified each with distinctive cultural practices and tastes. Some clear relationships were found between the latent classes and familiarity with genetic terminology. However, for more complex beliefs, such as genetic causation, regression analysis yielded null or uncertain results with no clear correlation found. Discussion: This paper provides an analysis of how people's enjoyment of culture could be a resource for understanding and advancing science communication and engagement. The results are discussed using two complementary theoretical frameworks. Using Bourdieu's concept of cultural capital, the exclusionary power culture can be seen. The work of De Certaeu, on the other hand, shows how this power can be resisted and subverted. While this paper focuses on genetics and genomics we argue that this approach provides a `proof of concept' that these ideas can be extended for use in wider science engagement contexts.