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The purpose of this chapter is to illustrate the centrality of the tabula rasa concept of self for the medical model of homeless service provision. Using four years of…
The purpose of this chapter is to illustrate the centrality of the tabula rasa concept of self for the medical model of homeless service provision. Using four years of ethnographic data analyzed with a grounded fractal methodology, we illustrate the logical interconnections between the particular phenomena of homeless service institutions and broad cultural contexts. While social science has been somewhat critical of the medicalization of homelessness, its shared supposition about the self has relegated it to structural critiques that offer little to the currently homeless and those who want to help them. In contrast, we illuminate a path toward the development of an alternative pedagogy of individualism that is more directly responsive to the problematics of the medical model of homeless service provision.
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The paper discusses some of the central features of IMP and industrial network research. Different types of empirical phenomena that are in focus of this research are presented. The paper also comments on epistemology, acknowledging some of the underpinnings of industrial network research and how they affect the use of case studies. Examples of case or narrative methodology are provided, taking a starting point in a set of chosen doctoral theses. In addition, a condensed version of the author’s own experiences from a case research and case-writing process covering a period of more than five years is provided (Andersson, 1996a, b). Literature support is brought in for the fact that case writing and the creation of narratives is often a long and ambiguous process of finding a final plot which merges the theoretical with the empirical. The conclusions and comments summarize some of the main implications and ideas emerging from the text, and points also to some emerging discussions in social science on the importance and status of narrative knowledge.