Sundown Town to “Little Mexico”: Old‐timers and Newcomers in an American Small Town*

Abstract For more than a century, communities across the United States legally employed strategies to create and maintain racial divides. One particularly widespread and effective practice was that of “sundown towns,” which signaled to African Americans and others that they were not welcome within the city limits after dark. Though nearly 1,000 small towns, larger communities, and suburbs across the country may have engaged in these practices, until recently there has been little scholarship on the topic. Drawing from qualitative and quantitative sources, this article presents a case study of a midwestern rural community with a sundown history. Since 1990 large numbers of Mexican migrants have arrived there to work at the local meat‐processing plant, earning the town the nickname “Little Mexico.” The study identifies a substantial decline in Hispanic‐white residential segregation in the community between 1990 and 2000. We consider possible explanations for the increased spatial integration of Latino and white residents, including local housing characteristics and the weak enforcement of preexisting housing policies. We also describe the racialized history of this former sundown town and whether, paradoxically, its history of excluding nonwhites may have played a role in the spatial configurations of Latinos and non‐Hispanic whites in 2000. Scholars investigating the contemporary processes of Latino population growth in “new” destinations, both in metropolitan and nonmetropolitan areas, may want to explore the importance of sociohistorical considerations, particularly localities' racialized historical contexts before the arrival of Mexican and other Latino immigrants.     

Prediction intervals in exponential families

A method for obtaining prediction intervals for an outcome of a future experiment is presented. The method uses hypothesis testing as a tool to derive prediction intervals and assumes that the probability distributions of informative and future experiments are one parameter exponential families. Asymptotic similar mean coverage prediction intervals are derived using the score test as a test statistics. Examples are presented and asymptotic prediction limits are compared with the prediction limits given in the literature.     

Inverse-gaussian acceptance sampling plans by variables

Variable sampling plans to control fraction defective are obtained using the Inverse-Gaussian (IG) distribution. OC curves are obtained and impact of sample size and specification limits on these curves are discussed. Simulation studies are used to investigate sensitivity of the sampling plans under the more commonly used normal distribution.     

Nonparametric bootstrapping for hierarchical data

Nonparametric bootstrapping for hierarchical data is relatively underdeveloped and not straightforward: certainly it does not make sense to use simple nonparametric resampling, which treats all observations as independent. We have provided some resampling strategies of hierarchical data, proved that the strategy of nonparametric bootstrapping on the highest level (randomly sampling all other levels without replacement within the highest level selected by randomly sampling the highest levels with replacement) is better than that on lower levels, analyzed real data and performed simulation studies.     

Feminist praxis,citizenship and informal politics: Reflections on South Africa's anti-eviction campaign

This article focuses on the Anti-Eviction Campaign (AEC) in Cape Town, South Africa, which is part of the larger anti-privatization movement, mobilized by disadvantaged township residents to assert their constitutional rights and resist evictions and service disconnections. It introduces the mutually constituted concepts of invited and invented spaces of citizenship and stresses the range of grassroots actions spanning those. The article also sheds light on the gender dynamics of the Campaign and how its patriarchal order is being destabilized. The AEC case study engages the pioneering feminist scholarship on citizenship that has embraced both formal and informal arenas of politics. The study points out the risk in constructing yet another binary relation between grassroots coping strategies (in invited spaces) and resistance strategies (in invented spaces). The article calls for a refinement of feminists' extended notion of politics, recognizing the oppositional practices of the poor in order to construct an inclusive citizenship. It argues that doing so better reflects the practices of the grassroots and furthers a progressive feminist praxis.     

An Exploration of Adjustment Needs and Efforts of Persons with Dementia After Relocation to a Residential Care Facility

This study examined the adjustment needs and efforts of individuals with dementia after relocation to a residential care facility. This was a qualitative prospective study that involved in-depth face-to-face interviews with 16 individuals with dementia and their family caregivers at 2 and 6 months post-relocation. In their efforts to recreate a sense of home, individuals with dementia had to meet three major highly interrelated and overlapping categories of needs to settle in, fit in, and find meaning in this transition. The satisfactory fulfillment of these adjustment needs resulted in a sense of comfort, connection, and continuity associated with feeling at home. Participants’ efforts to place themselves in their new living environments created a simultaneous need to integrate relocation into their overall sense of self. The results support earlier research indicating that place making is a critical process in the overall psychosocial adjustment to old age. The findings inform supportive interventions to assist individuals with dementia to reconstruct home in a residential care environment.     

Flirting with the enemy: Challenges faced by NGOs in development and empowerment

This article addresses the challenges faced by Mexican non-governmental organizations (NGOs) in attempting to perform their role as agents of development and empowerment among poor populations. Recently, NGOs have expanded and have gained a much greater capacity to respond to the problems of the poor populations. The issue at stake for many Mexican NGOs is that with their new-found capacities, they might reproduce a patron-client relationship with local communities. This article examines the redefiniton of NGOs goals and objectives and the changes in the relationship of NGOs with the state and the poor during the last three decades. It also discusses the effects of these changes on NGOs' methodology and approach in responding to the needs of disadvantaged communities.     

A case study of urban ecological networks and a sustainable city: Tehran’s metropolitan area

The aim of this study is to propose the application of landscape ecology in planning urban ecological networks to conserve nature in urban landscapes and to develop a sustainable use of urban lands. Compared to the classical planning approach based on socio-economic land suitability, the principles of landscape ecology are helpful simultaneously conserving the ecological processes of landscapes and their steady changes. This approach could help in defining sustainable landscape development, aiming for a balance between both physical and natural systems in urban areas. This research is focused on the ecological networks in Tehran’s metropolitan area as a case study to provide a model for network planning in other urban areas, where urbanization seriously threats the natural environment. In concluding this research, the spatial structure and function of the area are studied and categorized based on the patch-corridor-matrix model. The paper concludes with methods of intervention and suggestions for the structural and functional improvement of urban landscapes towards achieving a more sustainable form of land use planning.     

Bayesian predictive modeling for Inverse Gamma-Pareto composite distribution

Inverse Gamma-Pareto composite distribution is considered as a model for heavy tailed data. The maximum likelihood (ML), smoothed empirical percentile (SM), and Bayes estimators (informative and non-informative) for the parameter θ, which is the boundary point for the supports of the two distributions are derived. A Bayesian predictive density is derived via a gamma prior for θ and the density is used to estimate risk measures. Accuracy of estimators of θ and the risk measures are assessed via simulation studies. It is shown that the informative Bayes estimator is consistently more accurate than ML, Smoothed, and the non-informative Bayes estimators.     

Exponentially smoothed control charts for the inverse-gaussian process

Exponential smoothing technique is used to obtain centrality and dispersion control charts for an Inverse-Gaussian(IG)process. The centrality and dispersion control charts use linear combinations of IG and chi-square random variables, respectively. Simulation results are used to verify the approximate distribution of the linear combinations. A method for choosing the “best” value for the weighting constant is presented. An example illustrates the computations that are involved in finding the control limits.