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This paper discusses the potential of the notions of reification and consensualization as developed by the theory of social representations as analytical tools for addressing the communication between the lay and scientific spheres. Social Representations Theory started by offering an over-sharp distinction between the reified and the consensual universes of which science and common sense, respectively, were presented as paradigmatic. This paper, however, suggests that the notions of consensual and reified can be considered as describing two distinct communicative formats: reification implying the use of arguments which establish prescriptions for representations and action, and consensualization relying on arguments which recognize the heterogeneity of representation and action. We illustrate this proposal through the analysis of a case in which the expert and the lay spheres of a Lisbon neighborhood opposed each other regarding the new laws of public participation in community matters. This analysis showed how reification and consensualization can be used as discursive formats by both spheres. The implications of the use of reification and consensualization and how they may depend on several power resources and have different impacts on social change are discussed. [ABSTRACT FROM AUTHOR]

Computational sociology models social phenomena using the concepts of emergence and downward causation. However, the theoretical status of these concepts is ambiguous; they suppose too much ontology and are invoked by two opposed sociological interpretations of social reality: the individualistic and the holistic. This paper aims to clarify those concepts and argue in favour of their heuristic value for social simulation. It does so by proposing a link between the concept of emergence and Luhmann's theory of communication. For Luhmann, society emerges from the bottom-up as communication and he describes the process by which society limits the possible selections of individuals as downward causation. It is argued that this theory is well positioned to overcome some epistemological drawbacks in computational sociology. [ABSTRACT FROM AUTHOR]