Unfolding intersecting forms of socio-spatial exclusion: Accommodation centres at the height of the “refugee reception crisis” in Germany

At the height of the “refugee reception crisis” in 2015, a large number of forced migrants had to be accommodated in Germany, which led to the transformation of old infrastructures and building of new centres. Based on extensive fieldwork in three centres in the same city, this article seeks to highlight the intersecting forms of socio-spatial exclusion in refugee accommodations in Germany. First, we unpack how differential internal and external spatial arrangements intersect to aggravate or alleviate social exclusion of forced migrants. Second, we draw attention to the ways in which the regulation of space and social relations inside the accommodation centres intersect with the dominant gendered notions of the refugee label. Despite the potency of power relations that differentially categorizes, controls and excludes, exclusion remains ambivalent as forced migrants consistently claim ownership over the space in and around the centres and build social relationships to maintain a sense of “normalcy”.     

Discovering Diverse Mechanisms of Migration: The Mexico–US Stream 1970–2000

Migrants to the United States are a diverse population. This diversity, identified in various migration theories, is overlooked in empirical applications that describe a typical narrative for an average migrant. Using the Mexican Migration Project data from about 17,000 first‐time migrants from Mexico to the US between 1970 and 2000, this study employs cluster analysis to identify four types of migrants with distinct configurations of characteristics. Each migrant type corresponds to a specific theoretical account and becomes prevalent in a specific period, depending on economic, social, and political conditions in Mexico and the US. Around the period when each migrant type becomes prevalent, a corresponding theory is also developed.     

The Effectiveness of Environmental Civil Society Organizations: An Integrated Analysis of Organizational Characteristics and Contextual Factors

A push to reverse unsustainable trends has come from environmental civil society, but its track record is somewhat inconsistent. Why are some environmental organizations able to enhance the environmental cause, while others fail to create a substantial impact in the move toward environmental sustainability? This paper considers related but disparate clusters of literature and identifies factors that have an impact on the effectiveness of civil society. It also addresses the ambiguity that is attached to civil society—a concept with considerable historical baggage and contextual differentiation. Given that each conceptualization of civil society has its own body of literature and that these do not necessarily speak to each other, we propose an analytical framework that integrates a variety of dimensions relevant to the analysis of environmental civil society organizations (CSOs): the degree of institutionalization, the mode of interaction with the state, sources of funding, the locus of mobilization, the choice of issue(s), and the degree of politicization. Using these organizational characteristics, our framework further integrates contextual factors, constructing a multidimensional space where there are opportunities and constraints for environmental CSOs. This framework allows us to examine diverse paths shaped by context-dependent strategic choices of environmental CSOs which may either limit or enhance their capacity to make an impact. These strategic choices are tracked by selecting entry points inspired by fieldwork conducted in Turkey—specifically, institutionalization, the choice of issue(s), and politicization.     

Call Center Delay Announcement Using a Newsvendor‐Like Performance Criterion

The problem of estimating delays experienced by customers with different priorities, and the determination of the appropriate delay announcement to these customers, in a multi‐class call center with time varying parameters, abandonments, and retrials is considered. The system is approximately modeled as an M(t)/M/s(t) queue with priorities, thus ignoring some of the real features like abandonments and retrials. Two delay estimators are proposed and tested in a series of simulation experiments. Making use of actual state‐dependent waiting time data from this call center, the delay announcements from the estimated delay distributions that minimize a newsvendor‐like cost function are considered. The performance of these announcements is also compared to announcing the mean delay. We find that an Erlang distribution‐based estimator performs well for a range of different under‐announcement penalty to over‐announcement penalty ratios.     

Challenges in Development and Implementation of Health‐Risk‐Based Soil Quality Guidelines: Turkey's Experience

Management of contaminated sites is a critical environmental issue around the world due to the human health risk involved for many sites and scarcity of funding. Moreover, clean‐up costs of all contaminated sites to their background levels with existing engineering technologies may be financially infeasible and demand extended periods of operation time. Given these constraints, to achieve optimal utilization of available funds and prioritization of contaminated sites that need immediate attention, health‐risk‐based soil quality guidelines should be preferred over the traditional soil quality standards. For these reasons, traditional soil quality standards are being replaced by health‐risk‐based ones in many countries and in Turkey as well. The need for health‐risk‐based guidelines is clear, but developing these guidelines and implementation of them in contaminated site management is not a straightforward process. The goal of this study is to highlight the problems that are encountered at various stages of the development process of risk‐based soil quality guidelines for Turkey and how they are dealt with. Utilization of different definitions and methodologies at different countries, existence of inconsistent risk assessment tools, difficulties in accessing relevant documents and reports, and lack of specific data required for Turkey are among these problems. We believe that Turkey's experience may help other countries that are planning to develop health‐risk‐based guidelines achieve their goals in a more efficient manner.     

Increasing Migration,Diverging Communities: Changing Character of Migrant Streams in Rural Thailand

This paper studies how increasing migration changes the character of migrant streams in sending communities. Cumulative causation theory posits that past migration patterns determine future flows, as prior migrants provide resources, influence, or normative pressures that make individuals more likely to migrate. The theory implies exponentially increasing migration flows that are decreasingly selective. Recent research identifies heterogeneity in the cumulative patterns and selectivity of migration in communities. We propose that this heterogeneity may be explained by individuals’ differential access to previously accumulated migration experience. Multi-level, longitudinal data from 22 rural Thai communities allow us to measure the distribution of past experience as a proxy for its accessibility to community members. We find that migration becomes a less-selective process as migration experience accumulates, and migrants become increasingly diverse in socio-demographic characteristics. Yet, selectivity within migrant streams persists if migration experience is not uniformly distributed among, and hence not equally accessible to, all community members. The results confirm that the accumulation and distribution of prior migrants’ experiences distinctly shape future migration flows, and may lead to diverging cumulative patterns in communities over time.     

Evaluating the distribution of invasive woody vegetation around riparian corridors in relation to land use

Invasive species have been causing important and irreversible impacts to native species and communities of ecosystems. They distort ecosystem functions by degrading forest lands, wetlands, and agricultural habitats and replace the native vegetation and reduce biodiversity, forest productivity, and suitable wildlife habitat. To address disturbances caused by invasive species occurrence, further information is needed regarding the occurrence, extent, and dispersal of invasive species and how land use may increase the spread of these species. The objective of this study was to find the frequency and dominance of three invasive species common to riparian areas of east Alabama: Ligustrum sinense (Chinese privet), Elaeagnus pungens (silverthorn), and Triadica sebifera (Chinese tallow tree). Surveys of these species in riparian forests in and around Auburn, Alabama were conducted to show the relative extent of these shrubs and their relation to urban land use. It was expected to see the highest levels of invasive species in the city center with decreasing levels radiating outward into rural areas. Another objective was how urban land use may affect the presence-absence and prevalence of these non-native plant species within study sites. The results showed that around the city center and suburban lands, cover of both Chinese privet and silverthorn tended to increase. In contrast, Chinese tallow tree density percent cover showed an opposite trend with landscapes close to city center often having slightly less cover. This study shows that urban land use may be an important association with distribution of invasive plant species.     

An Analysis of the Levels of Job Satisfaction and Life Satisfaction of the Academic Staff

Job satisfaction is generally related with life satisfaction and can directly affect social, physical and mental health of individuals. This study was investigated to determine whether the levels of job satisfaction and life satisfaction of academicians have significantly differentiated under demographic variables and to enlighten the correlation among them. The samples of the study involve 186 academic personnel who work in the Faculty of Science and Art (122) and in the Faculty of Engineering and Architecture (64) in Eskisehir Osmangazi University. While analysing the data, t test, analysis of variance and regression analysis were used for SPSS 10.0. There was significant difference between job and life satisfaction levels of the academicians depending on the variables like the faculties that academic personnel working at, their titles, educational backgrounds, marital statuses, periods of duty, ages and genders. The results and their implications have been discussed.     

A Comparison of Two Group Classification Approaches to Fat-tailed and Skewed Data

The problem of two-group classification has implications in a number of fields, such as medicine, finance, and economics. This study aims to compare the methods of two-group classification. The minimum sum of deviations and linear programming model, linear discriminant analysis, quadratic discriminant analysis and logistic regression, multivariate analysis of variance (MANOVA) test-based classification and the unpooled T-square test-based classification methods, support vector machines and k-nearest neighbor methods, and combined classification method will be compared for data structures having fat-tail and/or skewness. The comparison has been carried out by using a simulation procedure designed for various stable distribution structures and sample sizes.