19 research outputs found

    Open borders in the nineteenth century : constructing the national, the citizen and the foreigner in South America

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    This working paper describes and explains the historical origins of the division between the national and the foreigner in South America. In the early nineteenth century, all the previously Spanish possessions in South America as well as Brazil achieved independence. With this new freedom, countries turned their attention to asserting their statehood through the delineation of three constitutive elements: government, territory and population. The new governments had to define who were going to be considered as nationals, citizens and foreigners, and the rights that pertained to each of these categories. These countries were all concerned with attracting new settlers and very early on introduced constitutional provisions on open borders and equal treatment for foreigners. White, male Europeans were the principal addresses of open borders provisions in an effort to entice them to settle in territories presented as empty to the exclusion of indigenous groups, bring new industries, and contribute to the whitening of mixed race populations. Whilst weak statehood came with independence, forming nations was a much longer process and States used migration and citizenship policies as tools to define nationhood

    Open Borders in the Nineteenth Century: Constructing the National, the Citizen and the Foreigner in South America

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    Bimetallic Catalysis using Transition and Group 11 Metals: An Emerging Tool for CC Coupling and Other Reactions

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    Supporting academic decision making at higher educational institutions using machine learning-based algorithms

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    Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables involved in them. Using machine learning algorithms, we predicted graduation rates in a real case study to support decision making. Real data from five undergraduate engineering programs at District University Francisco Jose de Caldas in Colombia illustrate our results. The comparison between support vector machine and artificial neural network is held using the confusion matrix and the receiver operating characteristic curve. The algorithm methods and architecture are presented
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