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EN
The aim of the article is to critically reassess relation between moral and economy of agents from the poorest class. The relational concept of the poorest class designates here homeless, drug-users, and some poor individuals generally that all have common particular social practices on the one hand and a position within of the social space on the other hand.
EN
The article uses photovoice to explore the everyday geography of homelessness and its affective dimension. We focus on two aspects of the everyday geography captured by photovoice: (1) movement in space and (2) the performativity of heterotopic places. The aim is to understand how the research partners as actors (re)present and (re)construct their everyday geography by visual means and how they relate to it affectively (or otherwise). Photovoice is a suitable method for this type of research as it has been used across the social sciences and especially in action research as a productive tool that allows people to document and reflect on their everyday life, their strengths, and their concerns, and to communicate all this effectively to the wider public. In this article, we critically discuss photovoice and argue that besides its action potential, it can also be used to generate rich visual research data. We present data collected from photovoice research on homeless people in Prague and Pilsen, two cities in the Czech Republic, and conduct formal analytical and hermeneutic analyses of the data. The photographs we obtained reveal the movement of our research partners – the homeless – in space and their relationship to different places and the people in them. In general, people were the most frequently photographed theme. The research revealed that social relations are the most important aspect in the creation and production of places in cities. Several factors, most importantly age, influence the extent to which social relations play this role.
EN
Respondent-driven sampling (RDS) is a survey method used to create samples of populations that are hidden and hard to reach. Even though the method has been used since the 1990s in studies internationally, it has not yet been used in Czech research. The RDS methodology tends to be described presented as a statistical tool that makes it possible to produce unbiased estimates of hidden or hard-to-reach populations, and at the same as a tool with which to effectively recruit respondents from the given populations. The goal of the article is to introduce RDS methodology and its uses and to present and assess its application in a homeless survey conducted in two Czech cities – Prague (N=322) and Pilsen (N=146). We show that as long as certain preconditions are met the method proves to be fact and effective, especially with respect to the speed at which it is possible to sample the homeless population. We compare the outcome of the RDS survey with that of a survey of the homeless population in Prague (2010) and assess whether and how the outcomes of the two samples differ in certain population characteristics. Finally, we offer practical suggestions and observations on using the RDS method for sampling homeless populations.
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