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Öğe Bridging qualitative and quantitative methods for classifying policy actors into policy discourse communities: thematic analysis and formal concept analysis approaches(2010) Süerdem, A.K.Policy decision process is usually depicted as a neutral and technical process in which problem solving capacity of a policy decision determines the validity of its effectiveness. However, socio-political space is fragmented and policy making process reflects the conflicts between different socio-political actors. Empirical detection of policy networks is a problematic issue since world views reflecting policy beliefs can best be elicited in unstructured narrative forms which do not easily lend themselves to a systematic and objective classification of the narrating actors. Thus, the data for such research is usually collected through structured interviews which provide a solid basis for quantitative classification techniques such as cluster analysis. However, structured interviews are prone to imposing researcher’s perspective to the data rather than reflecting the world views of the policy actors. The aim of this paper is to offer a systematic way of classifying policy actors into policy communities according to the data collected through unstructured policy narratives. For this purpose the paper proposes a method that bridges qualitative thematic analysis with quantitative formal concept analysis. © 2010 Inderscience Enterprises Ltd.Öğe Towards a new approach in social simulations:Meta-language(2009) Albayrak, R.S.; Süerdem, A.K.In this paper we will present a framework for bridging micro to macro emergence, macro-to-micro social causation, and the dialectic between emergence and social causation. We undertake a cultural approach for modeling communication and symbolic interaction between agents as the key element of connecting these three aspects. A cultural approach entails modeling cognitive agents who are not only capable of representing knowledge but also able to generate meanings through their experiential activities. We offer a meta-language approach allowing dynamic meaning generation during the interactions of the agents. This framework is implemented to a social simulation model. There are four important implications of the model: First, model shows a dynamic setup where agents can generate and elaborate multiplicity of meanings. Second, it exemplifies how individual mental models can interact with each other and evolve. Third, we see that a thickly coherent cultural background is not necessary for the emergence of embedded social networks, a thin coherence such as opposition maps would be sufficient to observe their dynamic formation. Fourth, exchange of meanings through successful sense-making practices generates a social anchoring process.Öğe What is in a name that we call 'Islam'? A critical inquiry into the semiotic construction of super-brand Ummah(Taylor and Francis Inc., 2016) Süerdem, A.K.[No abstract available]
