Thesis (M.A.)--Miami University, Dept. of French and Italian, 2008. / Title from first page of PDF document. Includes bibliographical references (p. 44-45).

Contextualized within the discourse of United States nationalism, particularly the idea of Manifest Destiny in the nineteenth century, contemporary Native American representations from Victor Masayesva (Hopi) and Chris Eyre (Cheyenne/Arapaho) are counter-hegemonic since their representations interrogate stereotypes about Indians as "timeless," "props" who create "color background" for the dominant imagination. For example, in Imagining Indians (1992), Masayesva presents a range of interrogating viewpoints concerning the exploitation, commodification, and Hollywood set treatment of Native Americans. Here, the interviewees are not passive objects but active subjects who interrogate the dominant culture's assumptions about Indians. At the end of his film, images of various nineteenth-century tribal leaders constructed from George Catlin are destroyed through computer graphic manipulation. The camera's possessive gaze is also de-naturalized and rendered powerless. Chris Eyre uses a different representational tactic than Masayesva. Eyre's Skins (2002) seeks to build counter-hegemonic community through the love between two brothers. Despite rampant unemployment, poverty, and alcoholism, the brothers' love sustains them and their family and thus helps them to survive in the fractured community of Pine Ridge. Here, the Lakota philosophy concerning the cultural concepts of tisospaye ("your clan or family") and oyate ("your people") are significant since these ideas help the brothers to overcome personal struggles with alcoholism and the effects of the trickster figure of Iktomi. In the ultimate act of countering the magisterial gaze of U.S. nationalism, Skins ends with the cathartic throwing of blood-ret paint on George Washington in America's much-vaunted Mount Rushmore. In short, these contemporary representations from two key Native American filmmakers are counter-hegemonic since they assert agency in showing "get real" images of Indians and thus building community in the face of domination.

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This thesis problematizes the notion of memory as a non-gendered mechanism by examining the construction of memory and subjectivity in Chris Marker's La jetâee and Sans soleil. Using the theoretical frameworks of Jacques Lacan, Bracha Ettinger, and Andrâe Bazin, the paper argues that La jetâee presents a model of phallic memory corresponding to a Lacan's understanding of desire and subjectivity, while Sans soleil offers a model of matrixial memory based on Ettinger's theorization of the gaze. Bazin's work is used to address aesthetic issues, as well as providing a method for exploring how the phallic and matrixial frameworks impact the formal construction of the films. Ultimately, La jetâees model of phallic memory is shown to sever past from present in a manner corresponding to Lacanian notions of desire, castration, and loss, whereas Sans soleil demonstrates the potential of matrixial memory to establish a liminal relationship between past and present. / by Jeremy Barr. / Thesis (M.A.)--Florida Atlantic University, 2011. / Includes bibliography. / Electronic reproduction. Boca Raton, Fla., 2011. Mode of access: World Wide Web.

Thesis (M.A.) - Carleton University, 2008. / Includes bibliographical references (p. 130-135). Also available in electronic format on the Internet.

nÃo hà / Esta pesquisa tem como objetivo descrever as estratÃgias utilizadas na traduÃÃo de referÃncias culturais na dublagem da sÃrie de TV americana Everybody Hates Chris. Os Estudos Descritivos da TraduÃÃo de Toury (1995) forneceram os fundamentos metodolÃgicos para este trabalho, especialmente no que tange as normas que regem o processo tradutÃrio. A anÃlise das referÃncias culturais baseou-se principalmente em DÃaz-Cintas & Remael (2007) e Antonini (2009). Os conceitos de estrangeirizaÃÃo e domesticaÃÃo estabelecidos por Venuti (1995), bem como o estudo de Ranzato (2013), serviram de base para a classificaÃÃo das estratÃgias de traduÃÃo. O corpus analisado consiste em 66 episÃdios de 20 minutos cada, totalizando 22 horas de material. Na anÃlise, buscou-se, primeiramente, identificar e classificar, de um ponto de vista quali-quantitativo, as referÃncias culturais contidas no texto-fonte. Em seguida, as estratÃgias de traduÃÃo foram classificadas para que fosse possÃvel inferir a influÃncia que cada tipo de referÃncia cultural teve na escolha dessas estratÃgias. Os resultados demonstram que, para cada tipo de referÃncia, foram adotadas estratÃgias diferentes, embora tenha havido uma predominÃncia de estratÃgias estrangeirizadoras. / This research aims to describe the strategies used in the translation of cultural references in the dubbing of the American TV series Everybody Hates Chris. Touryâs Descriptive Translation Studies (1995) laid out the methodological foundations for this paper, especially with regard to the norms which govern the translation process. The analysis of cultural references was primarily based on DÃaz-Cintas & Remael (2007) and Antonini (2009). The concepts of foreignization and domestication, as put forth by Venuti (1995), as well as Ranzatoâs (2013) study, were the basis for the classification of the translation strategies. The corpus analyzed consists of 66 20-min episodes, with a total of 22 hours of material. In the analysis, we first tried to identify and classify, from a qualitative and quantitative point of view, the cultural references found in the source text. Then, the translation strategies were classified so that we could infer the influence of each kind of cultural reference on the choice of these strategies. Results show that, for each kind of reference, different strategies were adopted, although there was a prevalence of foreignizing strategies.

This dissertation was conceived as an addendum to two self-published catalogs that American artist Chris Burden released, covering the years 1971–1977. It looks in-depth at the formative work the artist produced in college and graduate school, including minimalist sculpture, interactive environments, and performance art. Burden’s work is herewith examined in four chapters, each of which treats one or more related works, dividing the artist’s early career into developmental stages. In light of a wealth of new information about Burden and the atmosphere in which he was working in the late 1960s and early 1970s, this dissertation examines the artist’s work in relation to West Coast Minimalism, the Light and Space Movement, Environments, and Institutional Critique, above and beyond his well-known contribution to performance art, which is also covered herein. The dissertation also analyzes the social contexts in which Burden worked as having informed his practice, from the beaches of Southern California, to rock festivals and student protest on campus, and eventually out to the countercultural communes. The studies contained in the individual chapters demonstrate that close readings of Burden’s work can open up to formal and art-historical trends, as well as social issues that can deepen our understanding of these and later works. Benefitting from access to the artist’s estate, as well as archives collected at various institutions in Southern California, this dissertation is the first authoritative coverage of Chris Burden’s early career.

This research investigates the spectral reflectance characteristics of soil and vegetation using multi-angular and single view hyperspectral data. The question of the thesis is ???How much information can be obtained from multi-angular hyperspectral remote sensing in comparison with single view angle hyperspectral remote sensing of soil and vegetation???? This question is addressed by analysing multi-angular and single view angle hyperspectral remote sensing using data from the field, airborne and space borne hyperspectral sensors. Spectral mapping, spectral indices and Functional Data Analysis (FDA) are used to analyse the data. Spectral mapping has been successfully used to distinguish features of soil and cotton with hyperspectral data. Traditionally, spectral mapping is based on collecting endmembers of pure pixels and using these as training areas for supervised classification. There are, however, limitations in the use of these algorithms when applied to multi-angular images, as the reflectance of a single ground unit will differ at each angle. Classifications using six-class endmembers identified using single angle imagery were assessed using multi-angular Compact High Resolution Imaging Spectrometer (CHRIS) imagery, as well as a set of vegetation indices. The results showed no significant difference between the angles. Low nutrient content in the soil produced lower vegetation index values, and more nutrients increased the index values. This research introduces FDA as an image processing tool for multi-angular hyperspectral imagery of soil and cotton, using basis functions for functional principal component analysis (fPCA) and functional linear modelling. FDA has advantages over conventional statistical analysis because it does not assume the errors in the data are independent and uncorrelated. Investigations showed that B-splines with 20-basis functions was the best fit for multi-angular soil spectra collected using the spectroradiometer and the satellite mounted CHRIS. Cotton spectra collected from greenhouse plants using a spectrodiometer needed 30-basis functions to fit the model, while 20-basis functions were sufficient for cotton spectra extracted from CHRIS. Functional principal component analysis (fPCA) of multi-angular soil spectra show the first fPCA explained a minimum of 92.5% of the variance of field soil spectra for different azimuth and zenith angles and 93.2% from CHRIS for the same target. For cotton, more than 93.6% of greenhouse trial and 70.6% from the CHRIS data were explained by the first fPCA. Conventional analysis of multi-angular hyperspectral data showed significant differences exist between soil spectra acquired at different azimuth and zenith angles. Forward scan direction of zenith angle provides higher spectral reflectance than backward direction. However, most multi-angular hyperspectral data analysed as functional data show no significant difference from nadir, except for small parts of the wavelength of cotton spectra using CHRIS. There is also no significant difference for soil spectra analysed as functional data collected from the field, although there was some difference for soil spectra extracted from CHRIS. Overall, the results indicate that multi-angular hyperspectral data provides only a very small amount of additional information when used for conventional analyses.

Diss.--Marburg, 1999. / Bibliogr. p. 397-415.

This research investigates the spectral reflectance characteristics of soil and vegetation using multi-angular and single view hyperspectral data. The question of the thesis is ???How much information can be obtained from multi-angular hyperspectral remote sensing in comparison with single view angle hyperspectral remote sensing of soil and vegetation???? This question is addressed by analysing multi-angular and single view angle hyperspectral remote sensing using data from the field, airborne and space borne hyperspectral sensors. Spectral mapping, spectral indices and Functional Data Analysis (FDA) are used to analyse the data. Spectral mapping has been successfully used to distinguish features of soil and cotton with hyperspectral data. Traditionally, spectral mapping is based on collecting endmembers of pure pixels and using these as training areas for supervised classification. There are, however, limitations in the use of these algorithms when applied to multi-angular images, as the reflectance of a single ground unit will differ at each angle. Classifications using six-class endmembers identified using single angle imagery were assessed using multi-angular Compact High Resolution Imaging Spectrometer (CHRIS) imagery, as well as a set of vegetation indices. The results showed no significant difference between the angles. Low nutrient content in the soil produced lower vegetation index values, and more nutrients increased the index values. This research introduces FDA as an image processing tool for multi-angular hyperspectral imagery of soil and cotton, using basis functions for functional principal component analysis (fPCA) and functional linear modelling. FDA has advantages over conventional statistical analysis because it does not assume the errors in the data are independent and uncorrelated. Investigations showed that B-splines with 20-basis functions was the best fit for multi-angular soil spectra collected using the spectroradiometer and the satellite mounted CHRIS. Cotton spectra collected from greenhouse plants using a spectrodiometer needed 30-basis functions to fit the model, while 20-basis functions were sufficient for cotton spectra extracted from CHRIS. Functional principal component analysis (fPCA) of multi-angular soil spectra show the first fPCA explained a minimum of 92.5% of the variance of field soil spectra for different azimuth and zenith angles and 93.2% from CHRIS for the same target. For cotton, more than 93.6% of greenhouse trial and 70.6% from the CHRIS data were explained by the first fPCA. Conventional analysis of multi-angular hyperspectral data showed significant differences exist between soil spectra acquired at different azimuth and zenith angles. Forward scan direction of zenith angle provides higher spectral reflectance than backward direction. However, most multi-angular hyperspectral data analysed as functional data show no significant difference from nadir, except for small parts of the wavelength of cotton spectra using CHRIS. There is also no significant difference for soil spectra analysed as functional data collected from the field, although there was some difference for soil spectra extracted from CHRIS. Overall, the results indicate that multi-angular hyperspectral data provides only a very small amount of additional information when used for conventional analyses.