Bridging the Conceptualization of Youth with Intellectual Disabilities to Sentencing under the YCJA

The current study examined how disability and the concepts of risk, need and responsivity are understood by criminal justice professionals and inform their perceptions of young offenders with ID at sentencing under the ‘different but equal’ philosophy. Semi-structured interviews were conducted with 11 lawyers and 8 mental health workers across 6 major urban areas in Ontario. Participants primarily perceived ID through a medical discourse, overlooking social and structural barriers that, in some cases, may hinder adherence to sentencing dispositions. Specifically, participants discussed balancing the reduced culpability of offenders (e.g., intent) – justifying lenient sentencing – with public safety concerns (i.e., ID viewed as a barrier to rehabilitation) – justifying increasing the severity of sentences. Participants assessed clients with ID and their risks, needs and responsivity within the context of other legal factors: criminal history, severity of the offence, and YCJA objectives. Participants articulated the importance of tailored courthouse identification programs, services/funding, and education/training.

Real-Time Automatic Object Classification and Tracking using Genetic Programming and NVIDIA R CUDA TM

Genetic Programming (GP) is a widely used methodology for solving various computational problems. GP's problem solving ability is usually hindered by its long execution times. In this thesis, GP is applied toward real-time computer vision. In particular, object classification and tracking using a parallel GP system is discussed. First, a study of suitable GP languages for object classification is presented. Two main GP approaches for visual pattern classification, namely the block-classifiers and the pixel-classifiers, were studied. Results showed that the pixel-classifiers generally performed better. Using these results, a suitable language was selected for the real-time implementation. Synthetic video data was used in the experiments. The goal of the experiments was to evolve a unique classifier for each texture pattern that existed in the video. The experiments revealed that the system was capable of correctly tracking the textures in the video. The performance of the system was on-par with real-time requirements.

Network Similarity Measures and Automatic Construction of Graph Models using Genetic Programming

A complex network is an abstract representation of an intricate system of interrelated elements where the patterns of connection hold significant meaning. One particular complex network is a social network whereby the vertices represent people and edges denote their daily interactions. Understanding social network dynamics can be vital to the mitigation of disease spread as these networks model the interactions, and thus avenues of spread, between individuals. To better understand complex networks, algorithms which generate graphs exhibiting observed properties of real-world networks, known as graph models, are often constructed. While various efforts to aid with the construction of graph models have been proposed using statistical and probabilistic methods, genetic programming (GP) has only recently been considered. However, determining that a graph model of a complex network accurately describes the target network(s) is not a trivial task as the graph models are often stochastic in nature and the notion of similarity is dependent upon the expected behavior of the network. This thesis examines a number of well-known network properties to determine which measures best allowed networks generated by different graph models, and thus the models themselves, to be distinguished. A proposed meta-analysis procedure was used to demonstrate how these network measures interact when used together as classifiers to determine network, and thus model, (dis)similarity. The analytical results form the basis of the fitness evaluation for a GP system used to automatically construct graph models for complex networks. The GP-based automatic inference system was used to reproduce existing, well-known graph models as well as a real-world network. Results indicated that the automatically inferred models exemplified functional similarity when compared to their respective target networks. This approach also showed promise when used to infer a model for a mammalian brain network.

Postcolonial entanglements of Power, Race, Class and Privilege in Child and Youth Care Work Within a Brazilian Favela

This research assesses the various aspects of Child and Youth Care (CYC) work and how relationships between child or youth and care provider are limited and constricted within greater political, social and historical contexts. Specifically, this research takes place internationally in Rio de Janeiro, Brazil within a favela (slum) and unveils the entangled and complex relationship that I, not only as an ethnographer, but also as a CYC worker had with the many young people that I encountered. It will address a variety of theories that demonstrate the potentials of reproducing oppressive relationships, and argue that it is imperative for CYC workers to critically reflect on the greater contexts in which their work is situated in order to gain forces with those young people whom they are attempting to serve.

Helping Youth Venture Into Volunteerism: A Resource for Ontario Secondary School Educators

This study sought to create a curriculum resource for Ontario secondary school educators that addresses the inadequate preparation of students prior to their involvement in community service. Specifically, Helping Youth Venture Into Volunteerism: A Resource for Ontario Secondary School Educators was designed to help grade 10 Civics and Citizenship teachers prepare students for the 40 hours of community service that are a prerequisite for the Ontario Secondary School Diploma. The resource discusses problems with the current unstructured program, outlines researchers’ recommendations to address such problems, and provides comprehensive unit and lesson plans to help educators meet curriculum expectations for grade 10 Civics and Citizenship. In addition, the study examined the rationale and development of the community service program and reviewed related literature corresponding both to Ontario’s community service program as well as service-learning programs in schools. Study results and the accompanying resource will help improve the community service program’s effectiveness by integrating it into school practices and curriculum and making it more relevant, structured, and meaningful to students. By improving the community service program, students will be more engaged in community service and more likely will become lifelong volunteers and active members of their community.

Press Release - Youth for Diefenbaker, 1967

A press release from Youth for Diefenbaker, 1 August 1967. The release reads: "Hamilton Student Appointed Youth for Dief Representative. The youngest delegate to the conservative leadership convention, 15 year old Sean O'Sullivan of Hamilton, has been named Western Ontario representative of the Youth for Diefenbaker movement. This movement was formed in Ottawa to engage support of Canada's young conservatives for John Diefenbaker at the leadership convention. According to Mr. O'Sullivan, there is growing support for Mr. Diefenbaker and he will have an announcement to make in that regard at a press conference on Friday August Fourth at the Connaught Hotel."

Community, School and Sport: Experiences of Male Youth from Rexdale

This research study used an interview-based methodology to examine the schooling and sport experiences of racialized male youth from Toronto’s Rexdale community. Situated in the city’s northwest end, this marginal space is home to a highly racialized, economically disadvantaged and inordinately criminalized populace. Although the media continues to essentialize members of the community by propagating a prejudiced, homogenous, predictable, and largely taken-for-granted discourse that constructs the community as ‘other’, Rexdale exhibits vast diversity and offers its male youth a variety of opportunities and experiences. In discussions with participants it was revealed that the intersections of race, class and gender have substantial impacts on the ways in which Rexdale’s male youth experience their community, schools and sport. More specifically, Rexdale’s Black male youth regularly exhibit great resistance against oppression within their community and schools. As a result of these experiences their participation in sport can carry heightened significance.

Object-Oriented Genetic Programming for the Automatic Inference of Graph Models for Complex Networks

Complex networks are systems of entities that are interconnected through meaningful relationships. The result of the relations between entities forms a structure that has a statistical complexity that is not formed by random chance. In the study of complex networks, many graph models have been proposed to model the behaviours observed. However, constructing graph models manually is tedious and problematic. Many of the models proposed in the literature have been cited as having inaccuracies with respect to the complex networks they represent. However, recently, an approach that automates the inference of graph models was proposed by Bailey [10] The proposed methodology employs genetic programming (GP) to produce graph models that approximate various properties of an exemplary graph of a targeted complex network. However, there is a great deal already known about complex networks, in general, and often specific knowledge is held about the network being modelled. The knowledge, albeit incomplete, is important in constructing a graph model. However it is difficult to incorporate such knowledge using existing GP techniques. Thus, this thesis proposes a novel GP system which can incorporate incomplete expert knowledge that assists in the evolution of a graph model. Inspired by existing graph models, an abstract graph model was developed to serve as an embryo for inferring graph models of some complex networks. The GP system and abstract model were used to reproduce well-known graph models. The results indicated that the system was able to evolve models that produced networks that had structural similarities to the networks generated by the respective target models.

Destigmatizing Child and Adolescent Mental Health through Group Chat: A Workshop to Support the Emotional and Social Needs of Youth

The purpose of this project was to raise awareness surrounding child and adolescent mental health in an effort to reduce preconceived stigmas in relation to this specialized field. This project presented a literature review of the current state of child and adolescent mental health in Canada today, including the prevalence and several treatment options for young people confronting mental health challenges. Consideration of the powerful role of the education system upon youth with mental health issues became evident, specifically regarding early identification and prevention. A needs assessment was conducted to gather feedback from the clinical practitioners of a Section 23 classroom within a Southern Ontario hospital. This assessment was used to develop an informational and pedagogical workshop resource to extend practitioner understanding of this pertinent issue and support the social and emotional needs of young people confronting mental heath challenges. Results of the assessment indicated the significant need for such a workshop resource, and these responses were used to guide the development of Group Chat: A Workshop to Support the Emotional and Social Needs of Youth. The latter was subsequently presented to participants, whereby evaluative questionnaires indicated the efficacy and usefulness of this workshop resource to both practitioners and students alike.

Impact of a Youth Development Camp on Participants’ Skills, Attitudes, and Views Towards Science and Scientific Inquiry

This mixed-methods research study sought to determine the impact of an informal science camp—the Youth Science Inquiry Development Camp (YSIDC)—on participants’ science inquiry skills, through self-assessment, as well as their views and attitudes towards science and scientific inquiry. Pre and post data were collected using quantitative surveys (SPSI, CARS), a qualitative survey (VOSI-E), interviews, and researcher’s observations. Paired sample t-tests from the quantitative surveys revealed that the YSIDC positively impacted participants’ science inquiry skills and attitudes towards science. Interviews supported these findings and provided contextual reasons for these impacts. Implications from this research would suggest that informal and formal educational institutions can increase science inquiry skills and promote positive views and attitudes towards science and scientific inquiry by using non-competitive cooperative learning strategies with a mixture of guided and open inquiry. Suggested directions for further research include measuring science inquiry skills directly and conducting longitudinal studies to determine the lasting effects of informal and formal science programs.

Fit For Action: A Comparative Case Study of the Implementation of an Adaptive Fitness and Conditioning Program for Moderate Functioning Teens and Transition Age Youth with ASD

The purpose of my research was to develop and refine pedagogic approaches, and establish fitness baselines to adapt fitness and conditioning programs for Moderate-functioning ASD individuals. I conducted a seven-week study with two teens and two trainers. The trainers implemented individualized fitness and conditioning programs that I developed. I conducted pre and post fitness baselines for each teen, a pre and post study interview with the trainers, and recorded semi-structured observations during each session. I used multi-level, within-case and across case analyses, working inductively and deductively. My findings indicated that fundamental movement concepts can be used to establish fitness baselines and develop individualized fitness programs. I tracked and evaluated progressions and improvements using conventional measurements applied to unconventional movements. This process contributed to understanding and making relevant modifications to activities as effective pedagogic strategies for my trainers. Further research should investigate fitness and conditioning programs with lower functioning ASD individuals.

Inverse Illumination Design with Genetic Programming

Interior illumination is a complex problem involving numerous interacting factors. This research applies genetic programming towards problems in illumination design. The Radiance system is used for performing accurate illumination simulations. Radiance accounts for a number of important environmental factors, which we exploit during fitness evaluation. Illumination requirements include local illumination intensity from natural and artificial sources, colour, and uniformity. Evolved solutions incorporate design elements such as artificial lights, room materials, windows, and glass properties. A number of case studies are examined, including many-objective problems involving up to 7 illumination requirements, the design of a decorative wall of lights, and the creation of a stained-glass window for a large public space. Our results show the technical and creative possibilities of applying genetic programming to illumination design.

Examining Bullying Intervention Motivations Through a Cost/Benefit Analysis

The purpose of the present study was to examine the role of the bystander in bullying situations. A cost/benefit model was explored in researching factors adolescents consider in deciding whether to intervene when witnessing bullying. Adolescents in the present study (N = 101 (50.5% female), between the ages of 12 to 18, M = 15.37 years; SD = 1.71 years) completed self-report questionnaires, and also responded to bullying scenarios, stating how the bystander would react, while explaining potential personal costs and benefits. Adolescents were able to articulate various personal costs and benefits when making the decision to intervene. Conclusions of the present study include: 1) the evolutionary approach is quite informative in illuminating the decision process of the bystander, 2) adolescents’ beliefs about bullying and the role of bystanders are different from their teachers’, and 3) the rather explicit cost/benefit model could be used to develop more targeted anti-bullying programs.

Deconstructing Child Youth Care: an autoethnographic exploration of physical restraints in children’s residential settings

This thesis is written through the front-line perspective of a child/youth worker who has experienced ‘rupture’ in her personal understanding of the Child Youth Care (CYC) practice. Using a collection of personal journal entries written about her individual experiences of CYC education, mentorship/training, front-line residential practice and frequently used interventions, this thesis takes the reader (and the writer) on a discovery of prominent discourses that exist within the residential CYC profession. Focusing on the use of physical restraints on children by residential Child/Youth Workers, this research project utilizes Deconstructive Discourse Analysis and Liberation Psychologies to illustrate a critical examination of power-knowledge and scientific/medical discourses in CYC practice. By focusing on Foucault’s concepts of disciplinary power, binary division and theory of panopticism, the writer seeks to explore a personal reflection and comprehension of how power is used to assert control over children/youth through mental health treatment and physical interventions.

Disease-Gene Association Using Genetic Programming

As a result of mutation in genes, which is a simple change in our DNA, we will have undesirable phenotypes which are known as genetic diseases or disorders. These small changes, which happen frequently, can have extreme results. Understanding and identifying these changes and associating these mutated genes with genetic diseases can play an important role in our health, by making us able to find better diagnosis and therapeutic strategies for these genetic diseases. As a result of years of experiments, there is a vast amount of data regarding human genome and different genetic diseases that they still need to be processed properly to extract useful information. This work is an effort to analyze some useful datasets and to apply different techniques to associate genes with genetic diseases. Two genetic diseases were studied here: Parkinson’s disease and breast cancer. Using genetic programming, we analyzed the complex network around known disease genes of the aforementioned diseases, and based on that we generated a ranking for genes, based on their relevance to these diseases. In order to generate these rankings, centrality measures of all nodes in the complex network surrounding the known disease genes of the given genetic disease were calculated. Using genetic programming, all the nodes were assigned scores based on the similarity of their centrality measures to those of the known disease genes. Obtained results showed that this method is successful at finding these patterns in centrality measures and the highly ranked genes are worthy as good candidate disease genes for being studied. Using standard benchmark tests, we tested our approach against ENDEAVOUR and CIPHER - two well known disease gene ranking frameworks - and we obtained comparable results.