Arts and Science, Faculty of

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    Toil: creating a research based board game about Southern Alberta farm families during the Great Depression (1929-1940)
    (Lethbridge, Alta. : University of Lethbridge, Dept. of History, 2024) Smith, LaRae; University of Lethbridge. Faculty of Arts and Science; Alexander, Kristine
    During the Great Depression, 1929-1940, farming families in southern Alberta contended with what are now recognized as the three defining features of that decade: economic downturn, drought, and drifting soil. Drawing on oral history interviews and archival research, this thesis examines (1) the challenges that southern Alberta family farms faced during the Great Depression, and how the men, women and children of these families contribute to their family’s economic survival, and (2) how creating a boardgame on the topic of southern Alberta family farms during the Great Depression can help us to understand the time, the challenges that it presented, and how farming families responded. This thesis provides a look at the research done, the process of creating “Toil”, and the rationale behind turning the extensive historical research done into a board game format.
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    Framing the feminist protests in Mexico: an analysis of the polarized discursive dynamics and gender power relations on social media
    (Lethbridge, Alta. : University of Lethbridge, Dept. of Sociology, 2024) Tejeda Torres, Arturo; University of Lethbridge. Faculty of Arts and Science; Mair, Kimberly
    This portfolio-style thesis presents central components in the development and consolidation of my doctoral research project. Through four different pieces—a teaching dossier, two academic articles, and an Op-Ed— this portfolio aims to contribute to contemporary debates in the fields of social theory, poststructuralist studies and digital communication by engaging with themes around polarization, discourse, ideology and power dynamics in the context of social media. The research presented in this portfolio examines the polarized discursive dynamics surrounding the feminist protests in Mexico on March 8th and 9th, 2020, which emerged in response to increasing femicides in the country. Through an analysis of social media interactions, it explores how dominant narratives—those aligned with the Mexican government's "Fourth Transformation" and its conservative opposition—shape public discourse and reproduce gender-based power relations. This portfolio format intends to bridge theoretical insights and analyses on a concrete scenario while facilitating communication with both academic and non-academic audiences, demonstrating the broader relevance and applicability of the research.
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    Monitoring vegetation regeneration using multiple remotely piloted aircraft system sensors and methodologies
    (Lethbridge, Alta. : University of Lethbridge, Dept. of Geography and Environment, 2024) Pearse, Ben; University of Lethbridge. Faculty of Arts and Science; Hopkinson, Christopher; Chasmer, Laura
    Effective restoration of vegetation following mining or other anthropogenic disturbances requires the ability to accurately measure indicators of progress towards benchmarks and the desired restoration end points. In this thesis, remotely piloted aircraft systems (RPAS) were used to collect data for estimating ecosystem proxies for productivity and measures of vegetation diversity at reference and reclamation sites in the Yukon and Alberta, with a focus on developing or confirming existing methods and testing their use on an operational level. In the first case study, the ability to estimate Leaf Area Index (LAI) and classify plant functional type using Object-Based Image Analysis in mixed species communities was evaluated. It was found that both conceptual and regression models were robust enough after two years of data collection to estimate LAI across the range of sites sampled (r2 ranging from 0.73 - 0.86 and RMSE from 0.29 - 0.38 m2/m2), showing spatiotemporal transferability of the models. Plant functional types (shrub, herbaceous, grass, and moss) were classified with high accuracy (F-scores ranging from 0.95 - 1.0). The second case study assessed the potential for lidar to be used as a stand-alone sensor to monitor vegetation regeneration of a post-wildfire study site by estimating biomass and LAI and classifying woody and herbaceous vegetation. Furthermore, the ability to classify vegetation species was evaluated using object-based image analysis, multi-temporal data, and a fusion of multiple sensor types. The results show that average height was best for estimating biomass (R2 = 0.76, RMSE = 254 g/m2) at 1m2 plots. Woody and herbaceous vegetation were poorly classified using the lidar point clouds, however, the addition of spectral (NDVI) and moisture information (distance to a stream) improved the classifications. Object-based image analysis using a single data acquisition during a period of maximum foliage was unable to comprehensively classify species. However, the addition of a second data acquisition during the fall capitalized on spectral diversity of different species during different phenophases and improved the classification. This research demonstrates the unique potential of RPAS to be used in restoration monitoring with its ability to utilize different sensors and collect datasets dependent on user needs. The methods developed here for estimating productivity and species diversity can potentially be incorporated into long-term industry-based monitoring programs and can help decision-makers learn from current restoration efforts and apply successes to new areas.
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    Factors affecting interprovincial migration of university-bound students in Canada: evidence from the Postsecondary Student Information System (PSIS)
    (Lethbridge, Alta. : University of Lethbridge, Dept. of Economics, 2024) Aduloju, Busayo; University of Lethbridge. Faculty of Arts and Science; Mueller, Richard E.
    This thesis explores the factors influencing interprovincial migration of university-bound students in Canada between 2017 and 2021 using data from the Postsecondary Student Information System (PSIS). Employing both log-log and Poisson gravity models, the study examines geographic, economic, and institutional variables, along with the novel inclusion of cannabis regulation leniency, as a potential social determinant of migration. The analysis confirms that geographic distance remains a significant deterrent to student migration, with the probability of migration diminishing sharply as the distance between provinces increases. Economic variables reveal counterintuitive patterns. Interestingly, higher GDP per capita in origin provinces correlates with greater out-migration, suggesting wealthier students are more mobile. A particularly novel aspect of this study is its inclusion of cannabis policy as a factor influencing student migration. Provinces with a higher density of cannabis retail stores per capita demonstrate a marked increase in student migration, suggesting possible lifestyle preferences; however, the minimum legal age for cannabis consumption appears to have a negligible effect. These findings underscore the multifaceted nature of student migration, combining traditional economic and geographic factors with emerging social dynamics. The study offers valuable insights for policymakers and university administrators, emphasizing the need for targeted interventions that enhance interprovincial mobility, improve institutional competitiveness, and consider the broader social and regulatory landscapes in which students make their decisions.
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    Studying the efficiency of the Frobenius primality test
    (Lethbridge, Alta. : University of Health, Dept. of Mathematics and Computer Science, 2024) Gheisari, Hiva; University of Lethbridge. Faculty of Arts and Science; Fiori, Andrew; Kadiri, Habiba
    In mathematics, especially number theory, prime numbers are essential concepts. Prime numbers are used in cryptography as one application. Finding large prime numbers is crucial for cryptographic protocols; to do this, we must be able to tell whether a given number is prime or not. To test whether a number is a prime number, we require a computationally efficient primality testing algorithm. The primary objective of my research is to evaluate how well the tests work. Especially, in my research our main focus is on Grantham’s primality test. Grantham’s test is probabilistic and fast, but it comes with the risk of false positives. To determine how ‘good’ a test is, one must be aware of the possibility of false positives because in our development, deterministic tests are slower than false positive ones. In this thesis, we will explain the definitions of ‘probable prime numbers’, such as ‘Frobenius pseudoprime’, as given by Jon Grantham. Our research goal is to find upper and lower bounds for the number of probable prime numbers by generalizing the work of Paul Erdös and Carl Pomerance on Fermat pseudoprimes, and Jon Grantham on Frobenius pseudoprimes.