Recollecting Work : Labour and Class in Contemporary North American Historical Fiction

Ma thèse examine quatre romans de l`époque post-1960 qui s’appuient sur le genre de la littérature prolétarienne du début du vingtième siècle. Se basant sur les recherches récentes sur la littérature de la classe ouvrière, je propose que Pynchon, Doctorow, Ondaatje et Sweatman mettent en lumière les thèmes souvent négligés de cette classe tout en restant esthétiquement progressiste et pertinents. Afin d’explorer les aspects politiques et formels de ces romans, j’utilise la « midfiction », le concept d’Allen Wilde. Ce concept vise les textes qui utilisent les techniques postmodernes et qui acceptent la primauté de la surface, mais qui néanmoins essaient d’être référentiels et d’établir des vérités. Le premier chapitre de ma thèse propose que les romans prolétariens contemporains que j’ai choisis utilisent des stratégies narratives généralement associées avec le postmodernisme, telles que la métafiction, l’ironie et une voix narrative « incohérente », afin de contester l’autorité des discours dominants, notamment les histoires officielles qui ont tendance à minimiser l’importance des mouvements ouvriers. Le deuxième chapitre examine comment les romanciers utilisent des stratégies mimétiques afin de réaliser un facteur de crédibilité qui permet de lier les récits aux des réalités historiques concrètes. Me référant à mon argument du premier chapitre, j’explique que ces romanciers utilisent la référentialité et les voix narratives « peu fiables » et « incohérentes », afin de politiser à nouveau la lutte des classes de la fin du dix-neuvième et des premières décennies du vingtième siècles et de remettre en cause un sens strict de l’histoire empirique. Se basant sur les théories évolutionnistes de la sympathie, le troisième chapitre propose que les représentations des personnages de la classe dirigeante riche illustrent que les structures sociales de l’époque suscitent un sentiment de droit et un manque de sympathie chez les élites qui les font adopter une attitude quasi-coloniale vis-à-vis de la classe ouvrière. Le quatrième chapitre aborde la façon dont les romans en considération négocient les relations entre les classes sociales, la subjectivité et l’espace. Cette section analyse comment, d’un côté, la représentation de l’espace montre que le pouvoir se manifeste au bénéfice de la classe dirigeante, et de l’autre, comment cet espace est récupéré par les ouvriers radicaux et militants afin d’avancer leurs intérêts. Le cinquième chapitre explore comment les romans néo-prolétariens subvertissent ironiquement les tropes du genre prolétarien précédent, ce qui exprimerait l’ambivalence politique et le cynisme généralisé de la fin du vingtième siècle.

Invariant density for a class of initial distributions under quadratic mapping

For the discrete-time quadratic map xt+1=4xt(1-xt) the evolution equation for a class of non-uniform initial densities is obtained. It is shown that in the t to infinity limit all of them approach the invariant density for the map.

Oligo(p-Phenylenevinylene) Derived Organogels: A Novel Class of Functional Supramolecular Materials

The main objective of the present study is to have a detailed investigation on the gelation properties, morphology and optical properties of small π-conjugated oligomers. For this purpose we have chosen oligo(p-phenylenevinylene)s (OPVs), a class of molecules which have received considerable attention due to their unique optical and electronic properties. Though a large number of reports are available in the literature on the self-assembly properties of tailor made OPVs, none of them pertain to the design of nanostructures based on organogels. In view of this, we aimed at the creation of functional chromophoric assemblies of π-conjugated OPVs through the formation of organogels, with the objective of crafting nanoscopic assemblies of different size and shape thereby modulating their optical and electronic properties.In order to fulfill the above objectives, the design and synthesis of a variety of OPVs with appropriate structural variations were planned. The design principle involves the derivatization of OPVs with weak H-bonding hydroxymethyl end groups and with long aliphatic hydrocarbon side chains. The noncovalent interactions in these molecules were expected to lead the formation of supramolecular assembly and gels in hydrocarbon solvents. In such an event, detailed study of gelation and extensive analysis of the morphology of the gel structures were planned using advanced microscopic techniques. Since OPVs are strongly fluorescent molecules, gelation is expected to perturb the optical properties. Therefore, detailed study on the gelation induced optical properties as a way to probe the nature and stability of the selfassembly was planned. Apart from this, the potential use of the modulation of the optical properties for the purpose of light harvesting was aimed. The approach to this problem was to entrap an appropriate energy trap to the OPV gel matrix which may lead to the efficient energy transfer from the OPV gel based donor to the entrapped acceptor. The final question that we wanted to address in this investigation was the creation of helical nanostructures through proper modification of the OPV backbone With chiral handles.The present thesis is a detailed and systematic approach to the realization of the above objectives which are presented in different chapters of the thesis.

IIEPICTIIIN (IF CLASS-WNFLICT IN THE WIIRKS (IF NAGARJUN)

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A STUDY ON POLITICAL CONSCIOUSNESS IN HINDI NOVELS SINCE 1960

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SOCIAL CONSCIOUSNESS IN THE POETRY oF MUKTHIBODH

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SOCIAL CONSCIOUSNESS IN POST-INDEPENDENT HINDI POETRY (I947-I970)

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Computation of locally free class groups

We show that the locally free class group of an order in a semisimple algebra over a number field is isomorphic to a certain ray class group. This description is then used to present an algorithm that computes the locally free class group. The algorithm is implemented in MAGMA for the case where the algebra is a group ring over the rational numbers.

The Pursuit of Alternatives

Stories of peoples’ struggles across the globe are testaments to their determination to resist exploitation and injustice, and to imagine and construct their own narratives of economic and political difference. These stories of emancipatory moments demonstrate that something radically different in terms of dominant socio-economic relations and mental conceptions of the world may arise out of and beyond capitalism. The Pursuit of Alternatives: Stories of Peoples’ Economic and Political Struggles Around the World presents a fresh and new perspective on how the ‘process of becoming’ alternatives might take place based on peoples’ lived experiences. The chapters here, by labour activists and academics, explore how various forms of peoples’ economic and political initiatives and struggles in six countries – Brazil, Canada, Colombia, Nigeria, the Philippines, and South Korea – might become ‘actually existing’ spaces and moments for the development of critical consciousness and transformative capacities which are both central in challenging the dominant social, economic and political relations. The stories in this book bring to light today’s language of peoples’ struggles; what inspires people to create their own emancipatory moments and spaces for transformative self-change. While this book does not aim to propose an alternative to capitalism per se, it makes a stimulating contribution to the continuing debate on what alternatives to capitalist relations and arrangements might look like by grounding these alternatives in the everyday lives and struggles of workers, women, aboriginal peoples, the unemployed, and the poor.

Improving Multi-class Text Classification with Naive Bayes

There are numerous text documents available in electronic form. More and more are becoming available every day. Such documents represent a massive amount of information that is easily accessible. Seeking value in this huge collection requires organization; much of the work of organizing documents can be automated through text classification. The accuracy and our understanding of such systems greatly influences their usefulness. In this paper, we seek 1) to advance the understanding of commonly used text classification techniques, and 2) through that understanding, improve the tools that are available for text classification. We begin by clarifying the assumptions made in the derivation of Naive Bayes, noting basic properties and proposing ways for its extension and improvement. Next, we investigate the quality of Naive Bayes parameter estimates and their impact on classification. Our analysis leads to a theorem which gives an explanation for the improvements that can be found in multiclass classification with Naive Bayes using Error-Correcting Output Codes. We use experimental evidence on two commonly-used data sets to exhibit an application of the theorem. Finally, we show fundamental flaws in a commonly-used feature selection algorithm and develop a statistics-based framework for text feature selection. Greater understanding of Naive Bayes and the properties of text allows us to make better use of it in text classification.

A Note on Object Class Representation and Categorical Perception

We present a novel scheme ("Categorical Basis Functions", CBF) for object class representation in the brain and contrast it to the "Chorus of Prototypes" scheme recently proposed by Edelman. The power and flexibility of CBF is demonstrated in two examples. CBF is then applied to investigate the phenomenon of Categorical Perception, in particular the finding by Bulthoff et al. (1998) of categorization of faces by gender without corresponding Categorical Perception. Here, CBF makes predictions that can be tested in a psychophysical experiment. Finally, experiments are suggested to further test CBF.

The Individual is Nothing, the Class Everything: Psychophysics and Modeling of Recognition in Obect Classes

Most psychophysical studies of object recognition have focussed on the recognition and representation of individual objects subjects had previously explicitely been trained on. Correspondingly, modeling studies have often employed a 'grandmother'-type representation where the objects to be recognized were represented by individual units. However, objects in the natural world are commonly members of a class containing a number of visually similar objects, such as faces, for which physiology studies have provided support for a representation based on a sparse population code, which permits generalization from the learned exemplars to novel objects of that class. In this paper, we present results from psychophysical and modeling studies intended to investigate object recognition in natural ('continuous') object classes. In two experiments, subjects were trained to perform subordinate level discrimination in a continuous object class - images of computer-rendered cars - created using a 3D morphing system. By comparing the recognition performance of trained and untrained subjects we could estimate the effects of viewpoint-specific training and infer properties of the object class-specific representation learned as a result of training. We then compared the experimental findings to simulations, building on our recently presented HMAX model of object recognition in cortex, to investigate the computational properties of a population-based object class representation as outlined above. We find experimental evidence, supported by modeling results, that training builds a viewpoint- and class-specific representation that supplements a pre-existing repre-sentation with lower shape discriminability but possibly greater viewpoint invariance.