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Digital Resource 8: BKAM, Full DALA (Database of African American and Predominantly White American Literature Anthologies) Corpus, Hurston and Hughes, Author Page Count, zoom.
Referenced in Chapter 4 of the book "Digital Literary Redlining: African American Anthologies, Digital Humanities, and the Canon.
Solidarity in Self-Determination: The Fight for Political Rights by Mexican Americans and Native Americans in The Southwest
This paper seeks to provide a relational analysis of the modes of activism employed by Mexican Americans and Native Americans in the Southwest in their fight for political rights leading up to the Civil Rights Movement. It also delves into instances of collaboration and conflicts between these groups. This will be accomplished through examining legal documents from the Southwest, starting in 1848 with the enactment of the Treaty of Guadalupe Hidalgo up to approximately 1950. These documents include court cases and policies that were created to disenfranchise both groups unless they assimilated into Anglocentric standards of citizenship at the expense of their ethnic pride. Furthermore, this paper investigates examples of Mexican and Southwest Native Americans advocating for their political rights through the formulation of political ideologies and actions that would challenge or uplift Anglo assimilation. Despite their conflicts, this paper shows the importance of exploring reactions to assimilation policy and disenfranchisement that may have incited unintentional solidarity, revealing the interconnectedness of minority groups��� navigation during a crisis of political subordination. Historical evaluation shows that a postmodern approach to education primarily aided in the mobilization of both groups in their plight for political rights, as seen in later intersections between leaders of the Red Power and early Chicano Movements. Moreover, clear instances of solidarity would primarily be seen among working-class, landless Mexicans and Southwest Native Americans. Due to these movements having such great nuances, even if they are in the same region, the section on Southwest Native activism will primarily focus on the Pueblo of New Mexico in addition to some Arizona Native groups. This is because considering every sovereign tribe of the American Southwest would also mean looking at groups already deemed ���unfit��� for political rights, complicating an already complex issue. Nonetheless, the goal is to reframe the endeavor for political rights as a collective, rather than individual, effort
Implications of Site and Extent of Protein Digestion in Growing and Finishing Cattle
Voids in our current knowledge of protein nutrition for growing and finishing cattle include adequate characterization of the site and extent of protein digestion and the environmental and economic consequences of a disparity between protein supply and dietary requirements. A series of studies were conducted to create a robust dataset to predict the site and extent of protein digestion for ingredients commonly fed to cattle and to evaluate the impact of altering dietary rumen degradable protein intake on finishing cattle performance and gas flux. Prediction models were developed for rumen degradable protein and intestinal digestion of rumen undegradable protein using ingredient nutrient composition as predictors with high coefficients of determination. Developed equations explained a substantial portion of variation and had excellent agreement when evaluated against an independent dataset compiled from peer-reviewed literature. Regardless of rumen degradable protein intake level, cattle emitted similar amounts of carbon dioxide equivalents. However, cattle consuming intermediate levels of rumen degradable protein had an advantage in total mixed ration intake and marbling score and optimized nitrogen excretion and emission footprint. Data obtained while evaluating gas flux facilitated a calculation of dietary energy values using a gas-adjustment method, which was highly correlated and had excellent agreement with performance-adjusted dietary energy values. This research provides improvement in our understanding of the site and extent of protein digestion. This information can be utilized in strategic ration formulation when estimating metabolizable protein supply and the impact of dietary rumen degradable protein concentration on finishing cattle performance and gas emissions
Behind the Curtain of Grant Writing: A Content Analysis of Funded Proposals
This research explores the intricate landscape of grant procurement for global experiences situated in the field of education. Global experiences are widely recognized as transformative opportunities that foster intercultural competence and enrich learning environments. However, securing funding for these experiences remains a challenge filled with competition and complexity. Grant procurement, particularly for global experiences, poses many challenges. Applicants must navigate intricate application procedures, articulate project goals succinctly, and align with funding priorities. Moreover, the competitive nature of grant procurement places immense pressure on applicants to craft compelling proposals.
This study focuses on a selection of federally funded grants awarded by the United States Department of Education in the 2020 funding year. The objectives of this research are twofold. Firstly, I aim to analyze awarded grant proposals to identify underlying themes, strategies, and factors contributing to their funding success. Secondly, I explore the unique characteristics and commonalities among successful proposals. The research methodology encompasses rigorous content analysis techniques, enabling a detailed examination of narratives, objectives, and methodologies within the awarded proposals. The subsequent discussion and implications sections present the study's detailed findings and reflect their broader implications.
In conclusion, this research enriches our understanding of grant procurement strategies in the context of global experiences. By shedding light on the dynamics of successful funding, the study empowers educators and researchers with insights that can shape the future of transformative educational opportunities
A Master Class in Leading: How Effective Professors Lead Students Toward Success
Historically, one of the goals of higher education has been to produce educated, successful, and productive citizens. While there is ample research on higher education outcomes, research on defining, describing, and evaluating student success needs to be more extensive. Also, relationships are key when discussing higher education and student success. Research has shown an existing leader/follower exchange between professors and students; however, there is limited research on utilizing student-tailored teaching within higher education, leadership, and its impact on student success. This study sought to determine how faculty awarded for outstanding student development define student success, what teaching methods they utilize, and how professors (leaders) most effectively interact with their students (followers).
This qualitative study was conducted with award-winning professors at a Southern AAU institution within the College of Agriculture. Interviews, document analysis, and observations were inductively and deductively analyzed to produce data chunks which were thematically coded for each research question. Based on this sample, this study found no standardized definition of student success; award-winning professors rely on relational and active learning that must change with the different generations. They also find passion, affability, and leading each student aid in developing student success. Based on these findings, it can be concluded that more research is needed to clarify student success and research on the leader/follower relationship in academia. The implications of this study show the need for higher education to define student success and equip faculty with the teaching and leadership skills needed to aid students in their learning journey
Exploring Large Language Models in Zero-Shot Recommendation Systems
Recommendation systems are crucial in allowing users to discover relevant content for their queries with an ever-expanding number of options available. As the volume and diversity of items to recommend continues to grow, traditional recommendation systems face challenges in keeping pace with the demand of users. Large language models have shown the ability to perform well in recommendation systems without extensive and expensive training on specific items. Because of the general knowledge these models are trained on, large language models require less user-specific data than traditional recommendation systems to personalize the recommendations to the user. Also, the inherent natural language processing abilities in large language models, enabling models to make unforeseen connections and better understand the user���s information needs without explicit training. One challenge in combining large language models and recommendation systems includes attempting to recommend items the large language models have not been trained on such as a new movie and using a model trained prior to its release. Another challenge is dealing with the slow inference times in large language models, leading to wait times when attempting to run in real-time with user data. These difficulties can be addressed by supplementing the model with data from external sources to allow the model to make informed recommendations on items released after the date the model was trained. This thesis proposes a new approach to integrate large language models into recommendation systems in a live setting utilizing strategic prompting methods. The proposed method aims to increase the accuracy and personalization of recommendations while requiring less historical data from users. An empirical testing framework was developed to compare different recommendation methods using live data from users��� Netflix pages against the recommendations made by Netflix itself