The Hookah Lounge and Gangsta Rap Milieu in the Light of Germany’s “Clan Crime”
摘要
The phenomenon referred to as “clan crime” (Clankriminalität) in Germany has increasingly become a subject of both media attention and social science research. And yet the term itself and the features subsumed under it remain only vaguely defined—it is not a formal legal term, nor is it used consistently in common language. Generally, the phrase conveys the idea that in these large family associations, mostly of Middle Eastern origin, there is a high degree of, or at least an affinity for, behaviour that is considered criminal; that is, it violates the legal order of the German state, often including infringements of the law. This article is based on research conducted as part of the collaborative project KONTEST funded by the Federal Ministry of Education and Research [see Technical University of Berlin (ed.), Kriminalität im Kontext großfamiliärer Strukturen (2nd ed.)]. It is not intended to deductively deal with definitions of “clan crime” that predominantly originate from security authorities (cf. Görgen et al., ‘Clankriminalität’: Eine Literatursynthese zu abweichendem Verhalten im Kontext großfamiliärer Strukturen. Verlag für Polizeiwissenschaft, 2022). Instead, findings are presented that were inductively obtained from field research in milieus perceived as belonging to or being close to “clan crime”. In the course of field research, the Grounded Theory research methodology (GTM) according to Glaser and Strauss (The discovery of grounded theory: strategies for qualitative research. Aldine, 1967) was implemented (see Elliesie, https://www.youtube.com/watch?v=Dnhan9rPL28 ). The qualitative data collection was carried out using ethnographic research methods to query individual thought and action patterns of the interviewees and to conduct actor-centred research. The primary data collection methods were guided interviews, participant observations and text analyses: My project assistant Jacquelin Rosin was significantly involved in the evaluation of the rich data material, for which I would like to thank her again at this point.