10 resultados para Representation. Rationalities. Race. Recognition. Culture. Classification.Ontology. Fetish.

em DRUM (Digital Repository at the University of Maryland)


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This dissertation looks at the connection between Heliodorus's fifth-century prose romance, An Aethiopian History, certain Renaissance texts, and how these texts helped influence an alternate representation of Africans in the early modern world. Through their portrayals of Africans, early modern English playwrights frequently give the impression that Africans, especially black Africans, were people without accomplishments, without culture. Previously, however, this was not the case. Africans were depicted with dignity, as a tradition existed for this kind of representation--and Renaissance Europe had long been acquainted with the achievements of Africans, dating back to antiquity. As the source of several lost plays, the Aethiopica is instrumental in dramatizing Africans favorably, especially on the early modern stage, and helped shape a stage tradition that runs alongside the stereotyping of Africans. This Heliodoran tradition can be seen in works of Greene, Heywood, Jonson, Shakespeare, and others in the motifs of crosscultural and transracial romance, male and female chastity, racial metamorphosis, lost or abandoned babies, wandering heroes, and bold heroines. In Jonson's Masque of Blackness and Masque of Beauty, I establish a connection between these two masques and Heliodorus's Aethiopica and argue for a Heliodoran stage tradition implicit in both masques through the conceit of blanching. In The English Moore, I explore how Richard Brome uses the Heliodoran and Jonsonian materials to create a negative quality of blackness that participates in the dramatic tradition of the degenerate African on the English Renaissance stage. With Othello, I contend that it is a drama that can be seen in the Heliodoran tradition by stressing certain motifs found in the play that derives from the Aethiopica. Reading Othello this way provides us with a more layered and historicized interpretation of Shakespeare's protagonists. Othello's nationality and faith make his exalted position in Venice and the Venetian army credible and logical. His nobility and heroic status become more sharply defined, giving us a fuller understanding of the emphasis he places on chastity--both for himself and for Desdemona. Instead of a traditional, compliant, and submissive Desdemona, a courageous, resourceful, witty, and pure heroine emerges--one who lives by the dictates of her conscience than by the constraints of societal norms. Recovering the tradition of positive portrayal of Africans that originated from the Aethiopica necessitated an examination of eleven plays that I contend helped to frame the dramatic tradition under investigation. Six of these plays are continental dramas, and five are English. Although three of the English plays are lost and the other two are seventeenth-century dramas, their titles and names of their protagonists, like those of the six extant continental plays, share the names of Heliodorus's hero and heroine, making an exploration of the continental plays imperative to facilitate their use as paradigms in reconstructing the three lost English plays. These continental dramas show that plays whose titles derive from the Aethiopica itself or reflect the names of its major characters follow Heliodorus's text closely, enabling an investigation of the Heliodoran tradition on the early modern English stage. Recovering the Heliodoran tradition adds to the exploration of racial politics and the understanding of the dramatic tradition that constrained and enabled Renaissance playwrights' representation of race and gender.

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Increasing the size of training data in many computer vision tasks has shown to be very effective. Using large scale image datasets (e.g. ImageNet) with simple learning techniques (e.g. linear classifiers) one can achieve state-of-the-art performance in object recognition compared to sophisticated learning techniques on smaller image sets. Semantic search on visual data has become very popular. There are billions of images on the internet and the number is increasing every day. Dealing with large scale image sets is intense per se. They take a significant amount of memory that makes it impossible to process the images with complex algorithms on single CPU machines. Finding an efficient image representation can be a key to attack this problem. A representation being efficient is not enough for image understanding. It should be comprehensive and rich in carrying semantic information. In this proposal we develop an approach to computing binary codes that provide a rich and efficient image representation. We demonstrate several tasks in which binary features can be very effective. We show how binary features can speed up large scale image classification. We present learning techniques to learn the binary features from supervised image set (With different types of semantic supervision; class labels, textual descriptions). We propose several problems that are very important in finding and using efficient image representation.

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Screening Diversity: Women and Work in Twenty-first Century Popular Culture explores contemporary representations of diverse professional women on screen. Audiences are offered successful women with limited concerns for feminism, anti-racism, or economic justice. I introduce the term viewsers to describe a group of movie and television viewers in the context of the online review platform Internet Movie Database (IMDb) and the social media platforms Twitter and Facebook. Screening Diversity follows their engagement in a representative sample of professional women on film and television produced between 2007 and 2015. The sample includes the television shows, Scandal, Homeland, VEEP, Parks and Recreation, and The Good Wife, as well as the movies, Zero Dark Thirty, The Proposal, The Heat, The Other Woman, I Don’t Know How She Does It, and Temptation. Viewsers appreciated female characters like Olivia (Scandal), and Maya (Zero Dark Thiry) who treated their work as a quasi-religious moral imperative. Producers and viewsers shared the belief that unlimited time commitment and personal identification were vital components of professionalism. However, powerful women, like The Proposal’s Margaret and VEEP’s Selina, were often called bitches. Some viewsers embraced bitch-positive politics in recognition of the struggles of women in power. Women’s disproportionate responsibility for reproductive labor, often compromises their ability to live up to moral standards of work. Unlike producers, viewsers celebrated and valued that labor. However, texts that included serious consideration of women as workers were frequently labelled chick flicks or soap operas. The label suggested that women’s labor issues were not important enough that they could be a topic of quality television or prestigious film, which bolstered the idea that workplace equality for women is not a problem in which the general public is implicated. Emerging discussions of racial injustice on television offered hope that these formations are beginning to shift.

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This dissertation examines black officeholding in Wilmington, North Carolina, from emancipation in 1865 through 1876, when Democrats gained control of the state government and brought Reconstruction to an end. It considers the struggle for black office holding in the city, the black men who held office, the dynamic political culture of which they were a part, and their significance in the day-to-day lives of their constituents. Once they were enfranchised, black Wilmingtonians, who constituted a majority of the city’s population, used their voting leverage to negotiate the election of black men to public office. They did so by using Republican factionalism or what the dissertation argues was an alternative partisanship. Ultimately, it was not factional divisions, but voter suppression, gerrymandering, and constitutional revisions that made local government appointive rather than elective, Democrats at the state level chipped away at the political gains black Wilmingtonians had made.

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This study, "Civil Rights on the Cell Block: Race, Reform, and Violence in Texas Prisons and the Nation, 1945-1990," offers a new perspective on the historical origins of the modern prison industrial complex, sexual violence in working-class culture, and the ways in which race shaped the prison experience. This study joins new scholarship that reperiodizes the Civil Rights era while also considering how violence and radicalism shaped the civil rights struggle. It places the criminal justice system at the heart of both an older racial order and within a prison-made civil rights movement that confronted the prison's power to deny citizenship and enforce racial hierarchies. By charting the trajectory of the civil rights movement in Texas prisons, my dissertation demonstrates how the internal struggle over rehabilitation and punishment shaped civil rights, racial formation, and the political contest between liberalism and conservatism. This dissertation offers a close case study of Texas, where the state prison system emerged as a national model for penal management. The dissertation begins with a hopeful story of reform marked by an apparently successful effort by the State of Texas to replace its notorious 1940s plantation/prison farm system with an efficient, business-oriented agricultural enterprise system. When this new system was fully operational in the 1960s, Texas garnered plaudits as a pioneering, modern, efficient, and business oriented Sun Belt state. But this reputation of competence and efficiency obfuscated the reality of a brutal system of internal prison management in which inmates acted as guards, employing coercive means to maintain control over the prisoner population. The inmates whom the prison system placed in charge also ran an internal prison economy in which money, food, human beings, reputations, favors, and sex all became commodities to be bought and sold. I analyze both how the Texas prison system managed to maintain its high external reputation for so long in the face of the internal reality and how that reputation collapsed when inmates, inspired by the Civil Rights Movement, revolted. My dissertation shows that this inmate Civil Rights rebellion was a success in forcing an end to the existing system but a failure in its attempts to make conditions in Texas prisons more humane. The new Texas prison regime, I conclude, utilized paramilitary practices, privatized prisons, and gang-related warfare to establish a new system that focused much more on law and order in the prisons than on the legal and human rights of prisoners. Placing the inmates and their struggle at the heart of the national debate over rights and "law and order" politics reveals an inter-racial social justice movement that asked the courts to reconsider how the state punished those who committed a crime while also reminding the public of the inmates' humanity and their constitutional rights.

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This study is a compilation and compendium of information on the oud, the most important instrument in Arabic classical music. It has grown out of my own long-time involvement in studying and playing the oud, and in particular out of my interest in the lack of sources and knowledge available to the vast majority of oud players and researchers, as well as for the readers. My own path started from an intensive study of the oud, which included exposure to several treaties; some housed in museums around the globe, and some only available in the Arabic language. The study combines archival research (including Arabic poetry and pre-Islamic Era and medieval treaties), symbolism, new archaeological discoveries, field interviews, and analysis of existing scholarship, and draws on my professional performance experience for detailed stylistic analysis of the oud's performance practice and its historical development. The study consists of participant observation, personal performance, and interviews conducted in person, via telephone, and/or via e-mail, according to the choice of the performers. The performers have been selected from networks of musicians who perform regularly at lounges, concert halls, and private events. These performers have been chosen according to their musical knowledge, technical skill, experience, and activity in Arabic music and oud performance. Chapter one deals with the purpose of this study and the methods of investigation, as well as giving a brief overview of the history of the oud. In addition, there will be an introduction to the Arabic musical system (mâqâm), which is primarily based on the mechanics and sound production of the oud. Chapter two deals with the oud in Arabic sources: the first source is Arabic poetry in the pre-Islamic Era. The second source is Arabic poetry in the medieval era, in which I found a significant number of poets who allude to the oud, providing accurate descriptions of the player, singers, and the scenes within the contexts of oud performance. The third source is the Arab scholars' intensive treatises with meticulous accounts of the instrument's apparatii, including descriptions and measurements of the parts, strings, and tuning. While chapter three deals with the classification, the development of the oud, chapter four deals with topics such as: the symbolism of the oud and its relation to cosmology, astronomy, mathematics and anatomy. In most of the pertinent Arabic writings, philosophers mention a significant correlation between the oud and the other sciences. Chapter five deals with recreating the performance practice of the oud. A case study of the oud performers focuses on their style, technique, training, and personal experiences. Topics such as improvisation and ornamentation, the oud in the Arabic musical ensemble, the social uses and functions, and gender in musical performance practices will be included in detailed analysis. Other important topics will be analyzed such as traditional vs. modern technique, and the repertoire of the oud. Specifically, in regard to technique, the study outline the style of the music, the role of the oud in Arabic ensembles, the function of the oud in music composition, and the form of the ensembles in Arabic performance and practice.

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Viral Bodies: Uncontrollable Blackness in Popular Culture and Everyday Life maps rapidly circulated performances of Blackness across visual media that collapse Black bodies into ubiquitous “things.” Throughout my dissertation, I use viral performance to describe the uncontrollable discursive circulation of bodies, their behaviors, and the ideas around them. In particular, viral performance is employed to describe the complicated ways that (mis)understandings of Black bodies spread and are often transformed into common-sense beliefs. As viral performances, Black bodies are often made more visible, while simultaneously becoming more opaque. This dissertation examines the recurrence of viral performances of Blackness in viral videos online, film, and photography/images. I argue that viral performances make products that reinscribe stereotypical notions of Blackness while also generating paths of alterity—which contradict the normalized clichés and provide desirable possibilities for Black performance. Viral Bodies forges a new dialogue between visual and aural technologies, performance, and larger historic discourses that script Black bodies as visually (and sonically) deviant subjects. I am interested in how technologies complicate the re-presentation of images, ideas, and ideologies—producing a necessity for new decipherings of performances of Blackness in popular culture and everyday life.

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“Multiraciality Enters the University: Mixed Race Identity and Knowledge Production in Higher Education,” explores how the category of “mixed race has underpinned university politics in California, through student organizing, admissions debates, and the development of a new field of study. By treating the concept of privatization as central to both multiraciality and the neoliberal university, this project asks how and in what capacity has the discourses of multiracialism and the growing recognition of mixed race student populations shaped administrative, social, and academic debates at the state’s flagship universities—the University of California at Berkeley and Los Angeles. This project argues that the mixed race population symbolizing so-called “post-racial societies” is fundamentally attached to the concept of self-authorship, which can work to challenge the rights and resources for college students of color. Through a close reading of texts, including archival materials, policy and media debates, and interviews, I assert that the contemporary deployment of mixed race within the US academy represents a particularly post-civil rights development, undergirded by a genealogy of U.S. liberal individualism. This project ultimately reveals the pressing need to rethink ways to disrupt institutionalized racism in the new millennium.

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This study focuses on the intersection of the politics and culture of open public space with race relations in the United States from 1900 to 1941. The history of McMillan Park in Washington, D.C. serves as a lens to examine these themes. Ultimately, the park’s history, as documented in newspapers, interviews, reports, and photographs, reveals how white residents attempted to protect their dominance in a racial hierarchy through the control of both the physical and cultural elements of public recreation space. White use of discrimination through seemingly neutral desires to protect health, safety, and property values, establishes a congruence with their defense of residential property. Without similar access to legal methods, African Americans acted through direct action in gaps of governmental control. Their use of this space demonstrates how African-American residents of Washington and the United States contested their race, recreation, and spatial privileges in the pre-World War II era.

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Object recognition has long been a core problem in computer vision. To improve object spatial support and speed up object localization for object recognition, generating high-quality category-independent object proposals as the input for object recognition system has drawn attention recently. Given an image, we generate a limited number of high-quality and category-independent object proposals in advance and used as inputs for many computer vision tasks. We present an efficient dictionary-based model for image classification task. We further extend the work to a discriminative dictionary learning method for tensor sparse coding. In the first part, a multi-scale greedy-based object proposal generation approach is presented. Based on the multi-scale nature of objects in images, our approach is built on top of a hierarchical segmentation. We first identify the representative and diverse exemplar clusters within each scale. Object proposals are obtained by selecting a subset from the multi-scale segment pool via maximizing a submodular objective function, which consists of a weighted coverage term, a single-scale diversity term and a multi-scale reward term. The weighted coverage term forces the selected set of object proposals to be representative and compact; the single-scale diversity term encourages choosing segments from different exemplar clusters so that they will cover as many object patterns as possible; the multi-scale reward term encourages the selected proposals to be discriminative and selected from multiple layers generated by the hierarchical image segmentation. The experimental results on the Berkeley Segmentation Dataset and PASCAL VOC2012 segmentation dataset demonstrate the accuracy and efficiency of our object proposal model. Additionally, we validate our object proposals in simultaneous segmentation and detection and outperform the state-of-art performance. To classify the object in the image, we design a discriminative, structural low-rank framework for image classification. We use a supervised learning method to construct a discriminative and reconstructive dictionary. By introducing an ideal regularization term, we perform low-rank matrix recovery for contaminated training data from all categories simultaneously without losing structural information. A discriminative low-rank representation for images with respect to the constructed dictionary is obtained. With semantic structure information and strong identification capability, this representation is good for classification tasks even using a simple linear multi-classifier.