(Re)writing the other/self : autoethnography in the transcultural arena of representation

Abstract: In Imperial Eyes Mary Louise Pratt (1992: 7, emphasis original) defines autoethnography as "instances in which colonized subjects undertake to represent themselves in ways that engage with the colonizer's own terms ... in response to or in dialogue with . . . metropolitan representations." Although Pratt's conceptualization of autoethnography has much to offer post-colonial studies, it has received little attention in the field. In this thesis, I interrogate Pratt's notion of autoethnography as a theoretical tool for understanding the self-representations of subordinate peoples within transcultural terrains of signification. I argue that autoethnography is a concept that allows us to move beyond some theoretical dualisms, and to recognize the (necessary) coexistence of subordinate peoples' simultaneous accommodation of and resistance to dominant representations of themselves. I suggest that even when autoethnographic expressions seem to rely on or to reproduce dominant knowledges, their very existence as speech acts implicitly resists dominant discourses which objectify members of oppressed populations and re-create them as Native Informants. I use Pratt's concept to analyze two books by Islamic feminist sociologist Fatima Memissi. Memissi's Dreams ofTrespass and Scheherazade Goes West illustrate the simultaneity of accommodation and disruption evident in autoethnographic communication. Across the two books, Memissi shows herself renegotiating the discourses which discipline her (and her speech). She switches back and forth between the positions of reader and author, demonstrates the reciprocity of the disciplinary gaze (she looks back at her dominants, reading their own reading of her representation of her social group), and provides a model of autoethnographic dialogue.

American Desi : representation and reproduction in diaspora /

This study explores ~ow South Asian diasporic film represents and reproduces South Asian identity in the diaspora. It commences with a review of the literature in cultural studies and post-colonial theory on identity in the diaspora. A textual analysis of three films: American Desi, Bollywood/Hollywood, and East Is East, helps frame the characteristics of South Asian diasporic film. Theoretical concepts of diaspora and identity are extended to this reading of the films. In-depth, open-ended, semi structured interviews were conducted with eight participants to test the validity of theoretical concepts through participants' own reading of American Desi. Findings indicate that while theoretical concepts of identity can be usefully applied at the level of the text, these perspectives do not always easily explain participants' interpretation of the film in relation to their everyday experiences.

Evolutionary synthesis of stochastic gene network models using feature-based search spaces

A feature-based fitness function is applied in a genetic programming system to synthesize stochastic gene regulatory network models whose behaviour is defined by a time course of protein expression levels. Typically, when targeting time series data, the fitness function is based on a sum-of-errors involving the values of the fluctuating signal. While this approach is successful in many instances, its performance can deteriorate in the presence of noise. This thesis explores a fitness measure determined from a set of statistical features characterizing the time series' sequence of values, rather than the actual values themselves. Through a series of experiments involving symbolic regression with added noise and gene regulatory network models based on the stochastic 'if-calculus, it is shown to successfully target oscillating and non-oscillating signals. This practical and versatile fitness function offers an alternate approach, worthy of consideration for use in algorithms that evaluate noisy or stochastic behaviour.

Quadtree representation and compression of spatial data

Spatial data representation and compression has become a focus issue in computer graphics and image processing applications. Quadtrees, as one of hierarchical data structures, basing on the principle of recursive decomposition of space, always offer a compact and efficient representation of an image. For a given image, the choice of quadtree root node plays an important role in its quadtree representation and final data compression. The goal of this thesis is to present a heuristic algorithm for finding a root node of a region quadtree, which is able to reduce the number of leaf nodes when compared with the standard quadtree decomposition. The empirical results indicate that, this proposed algorithm has quadtree representation and data compression improvement when in comparison with the traditional method.

A Foucauldian Analysis of Power and Representation in an Attempt to Run a Photovoice Project with Youth

This project evolved out of a search for ways to conduct research on “others” in a way that does not exploit, stigmatize or misrepresent their experience. This thesis is an ethnographic study in leisure research and youth work and an experiment in running a photovoice project. Photovoice is a participatory visual method that embodies the emancipatory ideal of empowering others through self-representation. The literature on photovoice lacks a comprehensive discussion on the complexity of power and representation. Postmodern theorists have proposed that participatory methods are not benign and that initiatives are acts of power in themselves that produce effects (Cook & Kothari, 2001). A Foucauldian analysis of power is used to deconstruct the researcher’s practice and reflect on why and how youth are “engaged”. This project seeks to embrace the principle of working “with” others, but also work from a postmodern perspective that acknowledges power and representation as ongoing problems.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and deterministic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel metaheuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS metaheuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

Feature Selection and Classification Using Age Layered Population Structure Genetic Programming

The curse of dimensionality is a major problem in the fields of machine learning, data mining and knowledge discovery. Exhaustive search for the most optimal subset of relevant features from a high dimensional dataset is NP hard. Sub–optimal population based stochastic algorithms such as GP and GA are good choices for searching through large search spaces, and are usually more feasible than exhaustive and determinis- tic search algorithms. On the other hand, population based stochastic algorithms often suffer from premature convergence on mediocre sub–optimal solutions. The Age Layered Population Structure (ALPS) is a novel meta–heuristic for overcoming the problem of premature convergence in evolutionary algorithms, and for improving search in the fitness landscape. The ALPS paradigm uses an age–measure to control breeding and competition between individuals in the population. This thesis uses a modification of the ALPS GP strategy called Feature Selection ALPS (FSALPS) for feature subset selection and classification of varied supervised learning tasks. FSALPS uses a novel frequency count system to rank features in the GP population based on evolved feature frequencies. The ranked features are translated into probabilities, which are used to control evolutionary processes such as terminal–symbol selection for the construction of GP trees/sub-trees. The FSALPS meta–heuristic continuously refines the feature subset selection process whiles simultaneously evolving efficient classifiers through a non–converging evolutionary process that favors selection of features with high discrimination of class labels. We investigated and compared the performance of canonical GP, ALPS and FSALPS on high–dimensional benchmark classification datasets, including a hyperspectral image. Using Tukey’s HSD ANOVA test at a 95% confidence interval, ALPS and FSALPS dominated canonical GP in evolving smaller but efficient trees with less bloat expressions. FSALPS significantly outperformed canonical GP and ALPS and some reported feature selection strategies in related literature on dimensionality reduction.

‘Designer Vaginas': The Representation of Female Genitals on Canadian Cosmetic Surgeons' Websites

This thesis critically examines the online marketing tactics of 10 (English language) Canadian cosmetic surgery clinics’ websites that offer Female Genital Cosmetic Surgery (FGCS), specifically, labiaplasty (labial reduction) and vaginoplasty (vaginal tightening). Drawing on a qualitative Multimodal Critical Discourse Analysis (MCDA) and a feminist-informed social constructionist framework (Lazar, 2007), I examine how FGCS discourses reiterate and reinforce heteronormative sexual scripts for women, and impose restrictive models of femininity through the pathologization of genital diversity and the appropriation of postfeminist and neoliberal discourses of individual choice and empowerment. I explore feminist analyses of the links between FGCS and contemporary Western women’s postfeminist subjectivity, and the reconfiguration of women’s sexual agency, to better understand what these contemporary shifts may mean for women’s sexual anxiety and expression. My analysis highlights several discourses that organize the online marketing material of Canadian FGCS websites, including: the pathologization of genital diversity; restrictive models of femininity; heteronormative sexual scripts; neoliberal and post-feminist rhetorics of individual choice and empowerment; and psychological and sexual transformation. Overall, these discourses undermine acceptance of women’s genital diversity, legitimize the FGCS industry and frame FGCS as the only viable solution to alleviate women’s genital and sexual distress despite the lack of evidence regarding the long-term benefits and risks of these procedures, and the recommendations against FGCS by professional medical organizations.

New Feature at Niagara – Clark Hill Islands

New Feature at Niagara – Clark Hill Islands (5 islands situated in the rapids of the Niagara River). These islands are currently known as Dufferin Islands, 22 ½ cm. x 15 ½ cm, n.d.