Reluctant collaboration in community policing. How police team up with youth prior to 1st of May demonstrations in Germany

Abstract

Based on a 3-year ethnography on crime prevention of the police in Germany, this article analyses how the police incorporate youth in their de-escalation work preceding an annual demonstration on the 1st of May. A multimodal conversation analysis of work meetings traces how membership categorisation and assumption of social responsibility change: over the course of several months the police turn initially reluctant youth who the police at the outset considered ‘troublemakers’ into their ‘helpers’. They build an alliance by working with youth centres, influential people from the neighbourhood and participants of the previous year’s project. Whereas the police are the driving force at the beginning of the project, on the day of the demonstration they remain in the background and merely supervise the youth. This sequential development is discussed as a precarious process of disciplining the youth, driving the formation of a neighbourhood community and encouraging political consensus in society.

Knowledge discovery in research on policing strategies: an overview of the past fifty years

“…Figures 4 and 5 illustrate, respectively, the ten countries with the highest academic production on the topic researched in its various aspects and how countries interact through their researchers. Using the keywords of research, we return to the database of WoS and Scopus, and based on the information in Figure 4 we cluster the results by countries and from the analysis we can say that the most recurring themes among researchers are the theoretical discussions and applications practices on community-policing, problem-oriented-policing, predictive policing with its various aspects such as artificial intelligence applications, optimization through algorithms, application of various information technologies to the police service in general, below we list the most relevant works of each of the countries analyzed: USA (Sorg et al , 2012; Crowl, 2017; Carson and Wellman, 2018; Shapiro, 2019; Haberman and Stiver, 2019; Hendrix et al , 2019; Kringen et al , 2020; Eterno et al , 2020), UK (Bullock, 2013; Thomas and Trotman, 2017; Hutt et al , 2018; Kailemia, 2019; Leigh et al , 2019), Canada (Andresen and Hodgkinson, 2018; Jones et al , 2019; Andresen and Shen, 2019; Sandhu and Fussey, 2020), Australia (Mazerolle et al , 2013; Dunn et al , 2016), Germany (Belina, 2016; Porsche, 2020), Netherlands (Punch et al , 2002; Meijer and Wessels, 2019; Drenth and van Steden, 2020), France (Benbouzid, 2015; Mucchielli, 2017), China (Martin and Chan, 2014; Chen et al , 2019), Slovenia (Jere et al , 2012; Zavrsnik, 2017; Prisian and Lobnikar, 2019) and Brazil (Alves and Arias, 2012; Ribeiro and Vilarouca, 2018; Costa and Durante, 2019; Basilio et al , 2017; Basilio et al , 2020a; Basilio et al , 2020b; Basilio and Pereira, 2020b).…”

“…policing, predictive policing with its various aspects such as artificial intelligence applications, optimization through algorithms, application of various information technologies to the police service in general, below we list the most relevant works of each of the countries analyzed: USA (Sorg et al, 2012;Crowl, 2017;Carson and Wellman, 2018;Shapiro, 2019;Haberman and Stiver, 2019;Hendrix et al, 2019;Kringen et al, 2020;Eterno et al, 2020), UK (Bullock, 2013;Thomas and Trotman, 2017;Hutt et al, 2018;Kailemia, 2019;Leigh et al, 2019), Canada (Andresen and Hodgkinson, 2018;Jones et al, 2019;Andresen and Shen, 2019;Sandhu and Fussey, 2020), Australia (Mazerolle et al, 2013;Dunn et al, 2016), Germany (Belina, 2016;Porsche, 2020), Netherlands (Punch et al, 2002;Meijer and Wessels, 2019;Drenth and van Steden, 2020), France (Benbouzid, 2015;Mucchielli, 2017), China (Martin and Chan, 2014;Chen et al, 2019), Slovenia (Jere et al, 2012;Zavrsnik, 2017;Prisian and Lobnikar, 2019) and Brazil (Alves and Arias, 2012;Ribeiro and Vilarouca, 2018;Costa and Durante, 2019;.…”