Education and Empowerment: Lessons and History of the Christian Education Network in Israel and Palestine

Beginning in the 1850s, Christian missionary organizations established schools in Ottoman Palestine. A variety of networks developed over the years, principally those of the Anglicans and Catholics. Initially, these schools provided an education emphasizing European Christian values and subjects. Over time, however, a slow process of indigenization occurred. The first fruits of this process are illustrated by young leaders like Emil Tume and Tewfik Tubi who were prominent in the political opposition in Israel's first years of statehood. Another generation produced such notables as author Raja Shehadeh and Hanan Ashwari. In today's Israel and the Palestinian territories, the best schools, from a standpoint of matriculation, are Christian private schools that are open to all communities. Through this history, the article examines the development of a Christian school network and the political activism, involvement, and empowerment they engendered. It also provides a case study of the Rosary Sisters' school system.     

Who are the People in my Neighborhood?: The “Contextual Fallacy” of Measuring Individual Context with Census Geographies

Scholars frequently use counts of populations aggregated into geographic units like census tracts to represent measures of neighborhood context. Decades of research confirm that variation in how individuals are aggregated into geographic units can dramatically alter analyses conducted with these units. While most researchers are aware of the problem, they have lacked the tools to determine its magnitude or its capacity to affect analytical results obtained using these contextual measures. Using confidential access to the complete 2010 U.S. Decennial Census, we can construct—for all persons in the U.S.—individual-specific contexts, which we group according to Census-assigned block, block group, and tract. We compare these individual-specific measures to the published statistics at each scale, and we then determine the degree to which published measures could be affected by how boundaries are drawn using a simple statistic, the standard deviation of individual context (SDIC). For three key measures (percent Black, percent Hispanic, and Entropy—a measure of ethno-racial diversity), we find that block-level Census statistics frequently contain a high degree of uncertainty meaning that they may not capture the actual context of individuals within them. More problematic, we uncover systematic spatial patterns in the uncertainty associated with contextual variables at all three scales.     

Neural Network Modeling of Constrained Spatial Interaction Flows: Design, Estimation, and Performance Issues

In this paper a novel modular product unit neural network architecture is presented to model singly constrained spatial interaction flows. The efficacy of the model approach is demonstrated for the origin constrained case of spatial interaction using Austrian interregional telecommunication traffic data. The model requires a global search procedure for parameter estimation, such as the Alopex procedure. A benchmark comparison against the standard origin constrained gravity model and the two–stage neural network approach, suggested by Openshaw (1998), illustrates the superiority of the proposed model in terms of the generalization performance measured by ARV and SRMSE.