Matching Items (4)
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- All Subjects: Land Use Planning
- All Subjects: Violence in literature
- Genre: Masters Thesis
- Creators: Menjivar, Cecilia
- Creators: Femiani, John
- Status: Published
Description
ABSTRACT This thesis aims to demonstrate the validity of political violence in contemporary Chicano and Peruvian American narratives as a reflection of the sociopolitical situation of immigrants and their descendants in the United States (U.S.). The thesis explores the various ways in which contemporary Chicano and Peruvian American narratives present the political violence in the U.S. towards Mexican and Peruvian immigrants and Chicanos and Peruvian Americans examining the intersections that exist between the resistance and violence discourses and its sociopolitical consequences. Although the topic of political violence has been previously studied in U.S. and Latin American narratives throughout its history, its analysis has been insufficiently explored as far as contemporary narratives of the XXI century are concerned. With this in mind, two texts will be used to study this discourse of violence in Chicano and Peruvian American literature: Alejandro Morales' "Pequeña nación" (2005) and Daniel Alarcón's "Guerra en la penumbra" (2005). The thesis examines the immigrant as a center of discourse exploring the conflict between them and the institutions or groups in power that instigate this political violence. The first chapter covers the socio historical background regarding Mexican and Peruvian migration flows to the United States in the nineteenth, twentieth and twenty-first centuries. The second chapter introduces "The Triangle of Violence" proposed by Norwegian mathematician and sociologist Johan Galtung as the basis for the theoretical framework and approach of this analysis. Chapter three analyzes the Chicano short story "Pequeña nación" by Alejandro Morales. The analysis of the Peruvian American short story "Guerra en la penumbra" by Daniel Alarcón follows in chapter four. The conclusion emphasizes the problem of political violence experienced by immigrants in the U.S. in contemporary Chicano and Peruvian American narratives and possible solutions contained therein, protesting a problem that can hinder immigration policy reforms and the defense of human rights.
ContributorsSifuentes, Ana (Author) / Rosales, Jesus (Thesis advisor) / García-Fernández, Carlos J. (Thesis advisor) / Alarcon, Justo (Committee member) / Arizona State University (Publisher)
Created2013
Description
In the midst of historical ruptures and transfiguration caused by a globalization that has restructured new realities marked by violence, Central American and Chicanos realities have come into contact in a global space such the United States. Thus, the interdependence between these two cultures is so close that the literary influences are unavoidable. We argue that there is an asymmetrical relationship in the narrative of globalization, which sets new unpublished orders and generates perceptions of reality. The ideological dimensions of globalization that have caused systemic violence can be traced through military interventions and economic ventures. Thus, the subject of our research is assumed as a literary whole within certain social facts, i.e., as a symbolic aspect of the processes of violence within a culture undermined by globalization. Hence, in using theory of violence by Slavoj Ziek and theory of globalization by Manuel Castells, Tony Shirato, Jenn Webb, James Petra, and Henry Veltmeyer, we explore the narrative and criticism of U.S-Central Americans and Chicano in order to expose the forces of systemic violence that globalization produces. Our results show that, historically, globalization has formulated epistemologies via violence for Chicanos and U.S-Central Americans; such violence marks both groups, allowing for solidarity, through discursive practices of resistance, to take place in the textual space as well as in the real world. Such solidarity disrupts the textual borders, creating a dialogue of mutual understanding.
ContributorsEscobar, Mario A (Author) / Hernández-G, Manuel De Jesús (Thesis advisor) / Rosales, Jesus (Thesis advisor) / Menjivar, Cecilia (Committee member) / Arizona State University (Publisher)
Created2011
Description
Large datasets of sub-meter aerial imagery represented as orthophoto mosaics are widely available today, and these data sets may hold a great deal of untapped information. This imagery has a potential to locate several types of features; for example, forests, parking lots, airports, residential areas, or freeways in the imagery. However, the appearances of these things vary based on many things including the time that the image is captured, the sensor settings, processing done to rectify the image, and the geographical and cultural context of the region captured by the image. This thesis explores the use of deep convolutional neural networks to classify land use from very high spatial resolution (VHR), orthorectified, visible band multispectral imagery. Recent technological and commercial applications have driven the collection a massive amount of VHR images in the visible red, green, blue (RGB) spectral bands, this work explores the potential for deep learning algorithms to exploit this imagery for automatic land use/ land cover (LULC) classification. The benefits of automatic visible band VHR LULC classifications may include applications such as automatic change detection or mapping. Recent work has shown the potential of Deep Learning approaches for land use classification; however, this thesis improves on the state-of-the-art by applying additional dataset augmenting approaches that are well suited for geospatial data. Furthermore, the generalizability of the classifiers is tested by extensively evaluating the classifiers on unseen datasets and we present the accuracy levels of the classifier in order to show that the results actually generalize beyond the small benchmarks used in training. Deep networks have many parameters, and therefore they are often built with very large sets of labeled data. Suitably large datasets for LULC are not easy to come by, but techniques such as refinement learning allow networks trained for one task to be retrained to perform another recognition task. Contributions of this thesis include demonstrating that deep networks trained for image recognition in one task (ImageNet) can be efficiently transferred to remote sensing applications and perform as well or better than manually crafted classifiers without requiring massive training data sets. This is demonstrated on the UC Merced dataset, where 96% mean accuracy is achieved using a CNN (Convolutional Neural Network) and 5-fold cross validation. These results are further tested on unrelated VHR images at the same resolution as the training set.
ContributorsUba, Nagesh Kumar (Author) / Femiani, John (Thesis advisor) / Razdan, Anshuman (Committee member) / Amresh, Ashish (Committee member) / Arizona State University (Publisher)
Created2016
Description
This thesis investigates how homeless men and women who use one of only six human services campuses (hscs) in the nation negotiate the stigmatization they may feel as homeless people living in Phoenix, Arizona. An hsc centralizes services to one area of the city to decrease the run around of scattered-site service delivery. It also creates a legitimized space for the homeless in the city. A place for the homeless can be a rarity in cities like Phoenix that have a history of implementing revanchist policies and neo-liberal land use planning, most notably found in its downtown revitalization efforts. During Phoenix's development as a major metropolitan area, the homeless population emerged and lived a life on the margins until the 2005 creation of the Human Services Campus. This research unearths the experiences of homeless men and women who use the HSC today. I used qualitative methods, including document review, 14 in-depth interviews with homeless men and women, 7 interviews with service providers, informal conversations with additional homeless clients, and 14 months of field observations at the HSC to collect the data presented in this thesis. The results of this research illustrate reasons why the homeless clients interviewed were sensitive to the stigmatization of their social status, and how they managed their stigmatization through relationships with homeless peers and staff on the HSC. The presence of an action plan to exit homelessness was critical to the nature of these relationships for clients, because it influenced how clients perceived their own stigmatization as a homeless person.
ContributorsDe La Rosa Aceves, Aurelia Marie (Author) / Bolin, Bob (Thesis advisor) / Menjivar, Cecilia (Committee member) / Yabiku, Scott (Committee member) / Arizona State University (Publisher)
Created2011