Graduate Theses & Dissertations

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Peers, Props & Play
This study examined the relation between complexity of pretend play during preschool and early academic skills two years later. Preschool children (n =19), aged 3 years, were observed during self-directed free play, which was then coded for complexity of symbolic thought with respect to symbolic agent (ability to direct self or other’s play) and symbolic substitution (abstractness of props). Children’s literacy and numeracy skills were assessed concurrently and two years later when children were 5 years old. We found that children who directed others' play compared to children who focused on their own play had higher mathematics achievement at 5 years. In addition, children who engaged in more complex object substitutions (abstract props) had better counting at 3 years and better early reading skills at 5 years than their peers, who showed few complex substitutions. Our findings suggest that encouraging specific aspects of pretend play in preschool could be a relatively simple way to promote early academic achievement. Author Keywords: Math , Play complexity, Preschool , Pretend Play, Reading
An assessment of the determinants of, or barriers to, successful municipal food waste management systems
Food waste (FW) disposal has negative implications for the social, economic, and environmental sustainability of communities. While some municipalities in Canada have made improvements to their FW management, others have not been successful. Considering the complexity of the issues integrated into municipal FW management (MFWM), a mixed methodological approach was used to understand the determinants of, or barriers to, successful MFWM systems. Methods included analysis of primary data from a household survey with a fixed response and open-ended questions, along with analysis of the secondary literature. A comparative analysis of the results was undertaken to determine similarities and differences between successful and less successful cases (Guelph and London, Ontario, respectively) and the broader empirical literature. The results suggest the success of MFWM is determined by the commitment of political decision-makers to implement FW policies backed by adequate regulations, high levels of perceived behavioural control over barriers to participating in MFWM programs, and the ability to finance user-friendly MFWM infrastructure. Recommendations are made to guide policies and programming on food waste management. Author Keywords: Components of Waste management System , Composting, Determinants of Success, Food Waste Reduction, Households Food Waste Behaviour, Municipal Food Waste Management System
Calming Chaos in the Classroom
Physical activity and classroom design changes are beneficial means to reduce stress, and enhance well-being. Results across some studies however, are mixed. Shanker Self-Reg™ supports the use of physical equipment and design as a means of managing arousal and tension levels. Previous research lacks rich description of educators’ understanding of equipment and design, Self-Reg, and how this understanding affects the way it is implemented. In the current study, educators’ understanding of Self-Reg, how this understanding influenced educators’ approach to the school environment, and if one workshop was enough to inspire individuals to adopt a Self-Reg approach were explored using thematic analysis. Participants included educators from schools with beginner and intermediate-level experience in Self-Reg. The analysis produced eight themes and 8 sub-themes. Participants’ knowledge of Self-Reg influenced their approach to their environments. Although one workshop may have inspired interest in the framework, it was not enough to shift educators’ current practice. Author Keywords: Arousal, Classroom, Self-Reg, Self-regulation, Stress, Teachers
Finding Community
This thesis explores the history of the Indigenous child welfare system in Manitoba and the effects of the Millennium Scoop on children in care. My research question is: what was the experience of children in care in Manitoba from 1990 to 2015? A related question is: how do survivors find healing? The thesis begins with a discussion of the history of acts, policies, and practices that began with the Indigenous child welfare system during the running of Residential schools. Then the acts, reviews, and policies that have shaped the child welfare system in Manitoba are discussed more thoroughly. The focus of the thesis is on the stories of Phoenix Sinclair, Tina Fontaine, and Natasha Reimer. I share their stories and provide an analysis of how the child welfare system has affected their lives. The negative effects of being a child in care are numerous. Being a child in care leaves behind grief, loss of identity, and loss of security. The systemic issues of the child welfare system include inadequate funding, overloaded case workers, staff burnout, and a lack of transparency. These overarching failures translate into the failure of children in care: details are overlooked, wrong decisions are made, and children are left to fend for themselves. Or they fall into the cracks and do not receive adequate care. This then translates into the deaths of children in care, or they are left to navigate life on their own and forced to create their circle of supports. Despite all the complications and negative impacts, some children can succeed while in care. Natasha’s story is a perfect example of such resilience. Author Keywords: child welfare, indigenous studies, millennium scoop, sixties scoop
Endocannabinoid Treatment for the Behavioural and Histopathological Alterations of Epilepsy
Epilepsy is associated with a variety of cognitive, emotional, and pain-related symptoms, such as impaired memory and learning, increased risk of anxiety and depression, and increased pain sensitivity. Unfortunately, these symptoms are generally untreated with typical pharmacological interventions, which tend to target seizure activity (i.e., ictogenesis) and not the subsequent histopathological and behavioural alterations resulting from epilepsy (i.e., epileptogenesis). Evidence has demonstrated that targeting the endocannabinoid system can alleviate seizure symptoms as well as cognitive, emotional, and pain-related impairments independent of epilepsy. However, research examining the use of endocannabinoid-based treatment for these behavioural symptoms when they are associated with epilepsy is sparse. In the following thesis, two animal models of epilepsy, several behavioural assessments, and immunohistochemical techniques are utilized to assess the effectiveness of endocannabinoid-based treatment for epilepsy’s interictal symptoms. The findings expand our knowledge and offer encouraging evidence for the usefulness of endocannabinoid-based treatment as an epileptogenesis-targeting pharmacological intervention. Author Keywords: animal models, endocannabinoid system, histopathological alterations, interictal symptoms, temporal lobe epilepsy, treatment
Unbridled Potential
Recently, equine assisted learning (EAL) has emerged as a novel approach to building resiliency competencies in at-risk youth. This mixed-methods study presents evaluation results for an 8-week community-based EAL program with 83 young women (age 13-18 years) with a history of interpersonal trauma. Analyses examined changes in self-reported mental health symptoms (posttraumatic, depression) and resiliency factors (sense of mastery, sense of relatedness, emotion regulation) from pre- to post-test and at 1-month and 6-month follow-ups. Changes in outcomes were also correlated with intervention processes (attendance, session ratings) to see if program experiences were associated with differential outcomes. Results showed that EAL has potential in improving resiliency outcomes, at least for those participants who derived greater satisfaction and value from the sessions. Many improvements were sustained over the long term. Participants’ qualitative feedback provided insight into their subjective experiences and highlighted the unique role that horses played in the EAL process. Author Keywords: Emotion Regulation, Equine Assisted Learning, Experiential Learning, Resilience, Sense of Mastery, Sense of Relatedness
Capital Ratios and Liquidity Creation
Using quarterly data from the six largest Canadian banks, we investigate the relationship between regulatory capital ratio and on-balance sheet liquidity created in the Canadian economy by “Big Six”. We find a significant positive relationship between Tier 1 capital ratio and on-balance sheet liquidity creation for Canadian big six banks, implying that large banks in Canada favor risks and rely on capital to fund illiquid assets. In contrast, for smaller banks, the relationship is significantly negative. Our results are robust to dynamic panel regression using 2-Step GMM, two exogenous shocks - COVID-19 crisis and the Global Financial Crisis (2007-2009), mergers & acquisitions activities in the banking industry, and core deposits financing. The COVID-19 pandemic and core deposits adversely impact the Tier 1 capital ratio’s relationship with on-balance-sheet liquidity creation, while the global financial crisis (2007-2009) effect on the association is insignificant. Author Keywords: Big Six, COVID -19, Deposits, Liquidity Creation, Tier 1 Capital Ratio,
Frequency-time and polarization considerations in spectral-focusing-based CARS microscopy
Spectral-focusing-based coherent anti-Stokes Raman scattering (SF-CARS) microscopy is a powerful imaging technique that involves temporally and spectrally stretching ultrashort laser pulses and controlling their frequency-time characteristics. However, a broader and more detailed understanding of the frequency-time characteristics of the laser pulses and signals involved, how they are related, and how they influence important aspects such as the spectral resolution is needed to understand the full potential of SF-CARS systems. In this work, I elucidate these relationships and discuss how they can be exploited to optimize SF-CARS microscopy setups. I present a theoretical analysis of the relationships between the spectral resolution, the degree of chirp-matching, and pulse bandwidth in SF-CARS. I find that, despite allowing better ultimate spectral resolution when chirp-matching is attained, the use of the broadest bandwidth pulses can significantly worsen the spectral resolution if the pulses are not chirp-matched. I demonstrate that the bandwidth of the detected anti-Stokes signal is minimized when the pump is twice as chirped as the Stokes, meaning that (perhaps counter-intuitively) a narrow anti-Stokes bandwidth does not imply good spectral resolution. I present approximate expressions that relate the bandwidths of the pump, Stokes, and anti-Stokes pulses to the degree of chirp-matching and outline how these could be used to estimate the amount of glass needed to attain chirp-matching. I develop a spectral-focusing-based polarization-resolved (SFP-CARS) setup, by modifying our existing system, to explore the merits of integrating polarization-dependent detection as an add-on to existing SF-CARS setups. By using the system to study polarization-dependent features in the CARS spectrum of benzonitrile, I assess its capabilities and demonstrate its ability to accurately determine Raman depolarization ratios. Ultimately, the detected anti-Stokes signals are more elliptically polarized than desired, hindering a complete suppression of the non-resonant background. Nevertheless, I find that the SFP-CARS setup is a useful tool for studying polarization-dependent features in the CARS spectra of various samples and is worthy of further investigation. This work clarifies several technical aspects of SF-CARS microscopy and provides researchers with valuable information to consider when working with SF-CARS microscopy systems. Author Keywords: coherent anti-Stokes Raman scattering, nonlinear microscopy, polarization, spectral focusing, spectroscopy
Experiencing buhts’an qu’inal from sHachel jwohc’ a’tel through sna'el ya'beyel stuc te bin ay ma'yuc
This thesis shows and emphasizes the importance of Indigenous Knowledge (IK) in informing collaborative efforts that promote sustainable economic development in Indigenous communities. It tells the story of a participative research study undertaken with six Tseltal communities located in the Region Selva of Chiapas, Mexico, in the context of the Covid19 pandemic of 2020 and early 2021. In this study, the research participants reflect on their endeavours pursuing projects focused on the economic self-sufficiency of their communities. Their initiatives, which are deeply grounded in Tseltal practices while accompanied by the local non-profit organization IXIM AC, focus on developing economically self-sustaining enterprises in self-organized groups led by local Indigenous women. The findings offer a deep immersion into two aspects that emerge from Tseltal knowledge: The Nucleus of Tseltal community wellbeing and the Four Elements of Buhts’an qu’inal (Tseltal community wellbeing). The study’s results show that these two IK grounded aspects guide the participants’ endeavours in developing sHachel jwohc’ a’tel (Tseltal initiatives of entrepreneurship) while also enabling opportunities for gender transformative collaborative work and sustained engagement in local initiatives of sna'el ya'beyel stuc te bin ay ma'yuc (Tseltal economic development oriented to community wellbeing). Author Keywords: Community Wellbeing, Indigenous Entrepreneurship, Indigenous Knowledges, Indigenous Women, Participative Action Research, Sustainable Development
Forging Masks Through Perceptions of the Maskless in Benjamin Britten’s 'Peter Grimes'
This thesis proposes that Benjamin Britten’s 'Peter Grimes' leads its audience toward actively constructing an attitude toward its maskless protagonist. Grimes’s tragedy results from the social construction of his character from ambiguous and unseen actions. Utilizing the theories of Hannah Arendt and Carl Jung, this thesis proposes that Grimes may have resisted tragedy by constructing a public persona for himself. This thesis analyses the opera’s music and narrative according to the difference between Grimes’s lack of a public persona and the Borough- members’ construction of a mask for him. A central contention of the thesis is that as another element of Britten’s persona, Peter Grimes permitted the composer’s entrance into the public sphere, despite his private inclinations and illegal sexuality. Like the opera’s drama, the opera’s “Sea Interludes” reveals the tragedy resulting from the failure to construct an attitude toward the public world. These “Sea Interludes” work alongside the opera’s drama to induce the audience into a common perception of the opera’s whole. Through ironic relation to the opera’s musical and narrative parts, Benjamin Britten induces his audience’s construction of personae, thereby bringing himself and them into a shared public realm. Author Keywords: Benjamin Britten, E. M. Forster, English Opera, Montagu Slater, Peter Grimes, W. H. Auden
Archaeology and Reconciliation in the Williams Treaties Territory
This thesis examines the history of Indigenous inclusion in the discipline of archaeology and how archaeologists can provide reconciliation when working with Indigenous peoples in their territory. This thesis focuses on the territory of the Williams Treaties with a particular focus on the location of Nogojiwanong (Peterborough). My data consists of in-depth interviews from ten informants and studying three case studies that happened in the area. I take my informants’ suggestions and apply them to my case studies, to show practical examples of how we can provide reconciliation in the field of archaeology. Author Keywords: Decolonization , Heritage Management , Indigenous, Reconciliation
Time Series Algorithms in Machine Learning - A Graph Approach to Multivariate Forecasting
Forecasting future values of time series has long been a field with many and varied applications, from climate and weather forecasting to stock prediction and economic planning to the control of industrial processes. Many of these problems involve not only a single time series but many simultaneous series which may influence each other. This thesis provides methods based on machine learning of handling such problems. We first consider single time series with both single and multiple features. We review the algorithms and unique challenges involved in applying machine learning to time series. Many machine learning algorithms when used for regression are designed to produce a single output value for each timestamp of interest with no measure of confidence; however, evaluating the uncertainty of the predictions is an important component for practical forecasting. We therefore discuss methods of constructing uncertainty estimates in the form of prediction intervals for each prediction. Stability over long time horizons is also a concern for these algorithms as recursion is a common method used to generate predictions over long time intervals. To address this, we present methods of maintaining stability in the forecast even over large time horizons. These methods are applied to an electricity forecasting problem where we demonstrate the effectiveness for support vector machines, neural networks and gradient boosted trees. We next consider spatiotemporal problems, which consist of multiple interlinked time series, each of which may contain multiple features. We represent these problems using graphs, allowing us to learn relationships using graph neural networks. Existing methods of doing this generally make use of separate time and spatial (graph) layers, or simply replace operations in temporal layers with graph operations. We show that these approaches have difficulty learning relationships that contain time lags of several time steps. To address this, we propose a new layer inspired by the long-short term memory (LSTM) recurrent neural network which adds a distinct memory state dedicated to learning graph relationships while keeping the original memory state. This allows the model to consider temporally distant events at other nodes without affecting its ability to model long-term relationships at a single node. We show that this model is capable of learning the long-term patterns that existing models struggle with. We then apply this model to a number of real-world bike-share and traffic datasets where we observe improved performance when compared to other models with similar numbers of parameters. Author Keywords: forecasting, graph neural network, LSTM, machine learning, neural network, time series

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Format: 2024/05/23