Kenyon College
Kenyon College: Digital Kenyon - Research, Scholarship, and Creative ExchangeNot a member yet
135065 research outputs found
Sort by
Motasem Abu Hasan\u27s In The Line of Fire : A Translation
No full textThis capstone comprises my original translation of In The Line of Fire by Motasem Abu Hasan from Arabic to English. I accompany the translation with a personal interview with the playwright, which is punctuated by research in related fields such as translation studies, dramaturgical analysis, theatre for social change, Palestinian theatre history, and postcolonial theory. This translation should bring its audience to engage with more Palestinian theatre and art, searching for greater context and understanding, contributing to a de-colonial effort towards engagement with Palestinians and Palestinian cultural media. Practically, the translation serves as a literal means of travel for the text which is otherwise confined to its original performance, unable to tour due to funding limitations and travel checkpoints. In physically bringing the text from Palestine to America, while changed by all the challenges and intricacies of translation, the play is able to live another life
AI\u27s Creative Boundaries: A Cross-Model Pattern Analysis of Identity-Based Narratives
Get PDFThis research project examines creative writing outputs from five leading large language models (Claude 3.7 Sonnet, ChatGPT 4o, Grok 3, Gemini 2.5 Flash, and Deepseek R1) as they generate and respond to prompts focused on diverse identity experiences. By analyzing stories centered on immigrant, Black, LGBTQ+, transgender, and Indigenous experiences, I identify recurring patterns, tropes, and limitations across different AI systems. This study illuminates how algorithmic storytelling currently relies on a limited repertoire of narrative elements, raising important questions about the representation of diverse human experiences in AI-generated creative content and the potential impacts of these patterns as AI writing becomes increasingly prevalent in media and educational contexts
AI Proof Benchmarking: Evaluating Mathematical Reasoning in Open-Source LLMs via Taylor Series Analysis
Get PDFThis research project investigates large language models’ (LLMs) abilities to develop conceptually and mathematically correct proofs by using a benchmark based on the Taylor Series representation. The task examines LLM models for their capacity to adhere to definitions, theorems, and calculus. A range of models of varying sizes was tested, including Qwen, Gemma and LLaMA. Models under 2B parameters demonstrate poor understanding of Taylor and geometric series and apply wrong theorems while lacking logical reasoning about convergence. Models with at least 27B parameters typically generate proofs that are both coherent and almost complete. The research identifies existing constraints in symbolic reasoning capabilities of language models while proposing a strict evaluation standard for these functions
Hagia Sophia, Interior
No full texthttps://digital.kenyon.edu/arthistorystudycollection/2783/thumbnail.jp
Alhambra, Interior
No full texthttps://digital.kenyon.edu/arthistorystudycollection/2816/thumbnail.jp
Alhambra, Interior
No full texthttps://digital.kenyon.edu/arthistorystudycollection/2815/thumbnail.jp
Can Moduli Fields Decay via Self- Resonance?
No full textCosmology is the study of the structure and origin of the Universe, treating it as a dynamical system. Under this assumption, we are able to model the Universe on large scales, as well as study its early history, and compare it to predictions given by the Standard Model. After cosmic inflation, there may have been a period of the early Universe in which moduli fields –light scalar fields– dominate the energy density of the Universe. However, for Big Bang Nucleosynthesis (BBN) to occur, these fields must have decayed quickly so that the Universe is radiation dominated... This is the so-called cosmological moduli problem. We model the modulus field (ϕ) as it’s coupled to the rest of the Universe through time using GABE (Grid and Bubble Evolver) and Mathematica, and track whether the modulus field fragments. These inhomogeneities would cause the modulus field to become unstable and decay through self resonance. We found that, for naïve models, the field remained homogeneous, resulting in an extended matter dominated Universe, causing the disruption of BBN. This leaves much room to study the role moduli fields play in late universe particle physics, and how they contribute to the period between inflation and BBN