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Full-Text Articles in Entire DC Network
Kenyon Collegian - October 23, 2025
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Kenyon Collegian - October 2, 2025
Many Stories, One Shape: Narrative Convergence In Ai-Generated Fiction, Marisol Hernandez Brito
Many Stories, One Shape: Narrative Convergence In Ai-Generated Fiction, Marisol Hernandez Brito
IPHS 484: Senior Seminar
Frontier large language models (LLMs) generate fluent outlines but often converge on repetitive structural templates. This exploratory study examined inter-model diversity in thriller novel outlines produced by five LLMs (ChatGPT-5(5.1), Grok-4, Gemini-2.5 Flash, DeepSeek-v3, Claude Sonnet-4.5) under baseline and enhanced prompting conditions (N=50 outlines). Blind AI evaluations revealed moderate inter-model diversity (baseline mean 64.45%; enhanced 58.89%), declining relative to intra-model baselines and between phases, particularly in Protagonist and Plot dimensions. Quantitative and qualitative analysis identified phase-specific convergence: a "forensic procedural" template (analytical female protagonists, corporate conspiracies, Quest/Monster arcs) under the baseline prompt, shifting to a "domestic psychological thriller" template (uniform …
Lost In Transcreation: Llm Performance In Multicultural Creative Work, Murathan Kocaman
Lost In Transcreation: Llm Performance In Multicultural Creative Work, Murathan Kocaman
IPHS 200: Programming Humanity
This study benchmarks four leading LLMs (GPT-5.2, Claude 4.5, Gemini 3, and Grok-4) on cross-cultural advertising transcreation, using Turkish as a particularly revealing test case. Each model generated Turkish billboard taglines for three American brands (Hinge, Manscaped, and Oatly) under real-world constraints, and all outputs were scored using the Levent Index, a 100-point framework I created by synthesizing transcreation best practices with the Turkish linguistic instincts I developed growing up in Istanbul. The Index measures Linguistic Soul (40%), Cultural Resonance (40%), and Structural Flow (20%), and the complete rubric is available upon request. Gemini 3 dominated performance, yet no model …
A Political Meeting Lost In Translation: Cross-Lingual Aspect-Based Sentiment Analysis Of How English, Turkish, And Russian Media Frame The Same Syria-Trump Meeting, Murathan Kocaman, Kirill Sidorko
A Political Meeting Lost In Translation: Cross-Lingual Aspect-Based Sentiment Analysis Of How English, Turkish, And Russian Media Frame The Same Syria-Trump Meeting, Murathan Kocaman, Kirill Sidorko
IPHS 391: Interdisciplinary AI Frontiers
We examine how three newspapers in different languages (New York Times in English, Sözcü in Turkish, and NurKZ in Russian) frame the same Syria Trump meeting using aspect based sentiment analysis. Each article was segmented into sentences (NYT 67, NurKZ 40, Sözcü 26), with Turkish and Russian sentences translated into English while preserving the original text for reference. We applied an LLM based ABSA labeler constrained to a fixed set of predefined aspects, allowing us to compare sentiment at the level of specific themes rather than overall tone. Our analysis focuses on four high contrast aspects: sanctions and the Caesar …
Ai Ballet Corrections: Applying Current Ballet Technique To An American In Paris, Anne-Duncan Enright
Ai Ballet Corrections: Applying Current Ballet Technique To An American In Paris, Anne-Duncan Enright
IPHS 391: Interdisciplinary AI Frontiers
This project explores the feasibility of using a Large Language Model (LLM) to provide technical ballet critiques, a task traditionally reliant on oral tradition and person-toperson instruction. To test accuracy, current-day ballet technical standards were applied to clips of Leslie Caron in the 1951 film An American in Paris. Seven clips of classical ballet were analyzed by both the researcher (a dancer with 15 years of pre-professional training) and Gemini. Using a structured, technique-focused prompt, the LLM was tasked with providing technical corrections. The results were compared to evaluate whether an AI can accurately identify specific technical flaws in real-time …
Disagreement Among Ai Models As A Metric Of Economic Uncertainty: Testing Ai Disagreement Against Traditional Uncertainty Metrics, Peter Dunson, Andre Mccloud, Gwen Eisenbeis
Disagreement Among Ai Models As A Metric Of Economic Uncertainty: Testing Ai Disagreement Against Traditional Uncertainty Metrics, Peter Dunson, Andre Mccloud, Gwen Eisenbeis
IPHS 391: Interdisciplinary AI Frontiers
This study proposes an AI-based economic uncertainty metric built from disagreement among three frontier large language models (Claude, Google Gemini, and ChatGPT) that score daily market sentiment across five dimensions: equities, inflation, labor, consumer confidence, and forward guidance. We quantify both across-model and within-model disagreement using cosine distance between 5-dimensional sentiment vectors and assess whether these disagreement measures track or relate to established uncertainty benchmarks (VIX, EPU, and the Citi Economic Surprise Index). Results suggested that across-model disagreement moved more closely with new and policy-based uncertainty than with option-implied volatility, as it was strongly positively correlated with the Economic Policy …
Pulse: An Agentic Workflow Optimization Tool For Cross-Functional Teams Task Assignment, Bottleneck Detection, And Efficiency Recommendations, Tiffanie Ng
IPHS 391: Interdisciplinary AI Frontiers
Project management apps often center around tracking tasks but in reality, setbacks come from system-level dynamics (handoffs and review gates, constrained specialists with overloaded schedules, etc), which quietly compound until nothing ships on time. This work presents PULSE, an agentic workflow optimization system that turns event logs and operational data into a three-component manager-ready report including 1. skill- and capacity-aware task assignments, 2. bottleneck detection from event logs, and 3. human-in-the-loop AI-assist recommendations. I evaluate my MVP using a synthetic dataset built with Ollama, mimicking cross-functional collaboration in a mid-sized e-commerce company. The data illustrates realistic departments, projects, tasks, and …
Two Moles, Two Worlds: Network Analysis Of Infernal Affairs And The Departed, Melissa Vu
Two Moles, Two Worlds: Network Analysis Of Infernal Affairs And The Departed, Melissa Vu
IPHS 200: Programming Humanity
This project aims to explore how adaptation reshapes the social architecture of a movie. To do this, I used social network analysis to compare the character dynamics between Infernal Affairs(Hong Kong, 2002) and its U.S. adaptation The Departed(2006) in two ways: co-presence networks (characters connected when they appear in the same scene, with edge weights capturing repeated co-appearance) and directed dialogue network (arrows representing who speaks to whom, with thicker arrows indicating more frequent dialogue). Comparing the network structures across the two films reveals meaningful differences in group structure, connecting roles, and the concentration of dialogue around key characters, which …
Lights, Camera, Action! Mapping Concentration, Wealth, And Stability In Nyc Film Production, Mariah Szabo
Lights, Camera, Action! Mapping Concentration, Wealth, And Stability In Nyc Film Production, Mariah Szabo
IPHS 200: Programming Humanity
This project is a comprehensive analysis of over 93,000 New York City film permits from 2012-2025. A geographic analysis reveals that filming activity is concentrated in a small number of neighborhoods, although slight differences are visible based on the type of media being filmed. This geographic pattern has remained stable over the 13 years studied, despite major disruptions like COVID-19 and the streaming boom. Notably, a joint analysis with a New York City household income dataset shows that these neighborhoods stand as wealthier than the average New York City neighborhood. The result is an “NYC on Film” that represents only …
Mapping Interior Focalization: Social Network Analysis And Free Indirect Discourse In Mrs. Dalloway, Zhuojun Jiang
Mapping Interior Focalization: Social Network Analysis And Free Indirect Discourse In Mrs. Dalloway, Zhuojun Jiang
IPHS 200: Programming Humanity
Mrs. Dalloway, a highly renowned stream-of-consciousness novel in modern literature, employs extensive use of free indirect speech and shifting focalization, leaving the relationships between its characters elusive and sophisticated. How does social network analysis behave when focalization shifts rapidly across characters in free indirect discourse? This study employs specific literary analysis with social network analysis as digital humanities methodology to investigate the contrast between the superficial social structures and the interior psychological relationship structures. I referenced Jessica Daugherty’s poster on social network analysis and Professor Elkin’s sentiment analysis on Mrs. Dalloway as my sources of inspiration, and I used ChatGPT, …
French Reactions To 9/11: An Analysis Of French Newspaper Articles Published September 12, 2001, Rose Plottel
French Reactions To 9/11: An Analysis Of French Newspaper Articles Published September 12, 2001, Rose Plottel
IPHS 200: Programming Humanity
This research presents a hierarchical cluster analysis and aspect based sentiment analysis (ABSA) of French newspaper articles about the September 11 attacks published on September 12, 2001. The study focuses specifically on the key thematic clusters discussed across these articles and the variance in sentiment scores across them. Using Dendrogram Hierarchical Modeling and ABSA, the model identified six thematic clusters and measured thematic scores for each cluster as well as their key terms on a scale ranging [-1,1]. The analysis revealed simultaneous sympathy for the American people alongside scrutiny of potential American retaliation.
Sentiment Oscillations In Mafia Cinema: Using Sentiment Analysis To Quantify The Critical Disparity Within The Godfather Trilogy, Andrew Vera
IPHS 200: Programming Humanity
This project uses sentiment analysis technology to examine the screenplays of The Godfather trilogy. Sentiment analysis generates data based on dramatic dialogue, rating each line on a sentiment scale that indicates the level of emotional intensity or neutrality, as well as whether the sentiment is positive or negative. By using this technology, the study identifies the unique curves of each film, allowing for a comparison of narrative peaks and valleys that helps explain the disparity between the series' acclaim and its criticism. Additionally, by measuring the sentiment arc disparities, the study seeks to illustrate why the first two films in …
Aspect-Based Sentiment Analysis With Llms: Are Large Language Models Able To Accurately Score Sentiment In Company Earnings Calls?, Peyton Hodges
Aspect-Based Sentiment Analysis With Llms: Are Large Language Models Able To Accurately Score Sentiment In Company Earnings Calls?, Peyton Hodges
IPHS 200: Programming Humanity
When a company releases an earnings call, it can have a big impact on the respective stock market performance of that company. Investors of all types do their best to analyze the data and sentiment provided by the senior executive members to gauge potential future trends of the stock price. Earnings calls are especially important for companies like Nvidia that are making waves in the tech world as AI continues to grow. Previously, sentiment analyses were typically reserved for big companies who specialize in financial quantitative analysis. However, the introduction of Large Language Models (LLMs) such as Gemini, ChatGPT, and …
Examining The Ohio 5’S Identities: A Data Analysis Of College Mission Statements, Olivia Hiner
Examining The Ohio 5’S Identities: A Data Analysis Of College Mission Statements, Olivia Hiner
IPHS 200: Programming Humanity
How do the Ohio 5 compare in their mission statements? Being in such close proximity to each other, they compete in enrollment, sports, academics, student life, and more. This study utilizes mission statements in order to observe semantic similarity. By running the code, a heatmap, semantic map, and 3D semantic space reveal that Kenyon’s mission statement is most similar to the others whilst Oberlin is most dissimilar.
Reading Between The Taglines: Regional Topic Frequencies In Reality Television Narratives, Ava Fattahi
Reading Between The Taglines: Regional Topic Frequencies In Reality Television Narratives, Ava Fattahi
IPHS 200: Programming Humanity
This project uses topic and word frequency arcs to explore a seemingly frivolous yet ultimately revealing part of modern TV: The Real Housewives franchise (2006-). By looking at the taglines the women use to introduce themselves along with full transcripts of episodes, I want to examine how the mood and language of different cities change from region to region of the wildly popular series. I focus on a small sample size of three areas: the West Coast (Beverly Hills), the Northeast (New York City), and the South (Atlanta). Based on what I have noticed as a longtime viewer of the …
From Nature To Finance: The Language Of Environmental Governance Through Unep Reports, Elizabeth Aiken
From Nature To Finance: The Language Of Environmental Governance Through Unep Reports, Elizabeth Aiken
IPHS 200: Programming Humanity
This project applies the computational text analysis methods from Franco Moretti and Dominique Pestre's "Bankspeak" to examine how the United Nations Environment Programme’s (UNEP) language has evolved in its annual reports from 1975 to 2024. Founded in 1972 as the UN’s main environmental authority, the UNEP plays a vital role in global discourse surrounding climate change and environmental challenges. Using Python-based computational methods to track word frequencies, semantic clusters, and grammatical patterns across five decades of annual reports, this analysis reveals three distinct linguistic periods. These periods include an early period (1975-1989), which emphasizes nature and scientific terms, a middle …
Emotional Stability And Deception In Multi-Agent Ai Negotiations Tracking Emotional Drift, Persuasion And Influence Using Valence-Arousal-Dominance, Godwin Idowu
IPHS 200: Programming Humanity
Today, large language models are often applied as smart agents who are capable of communicating, negotiating and making decisions together in the same space. In this work, I designed a test scenario where three different AI agents, having different goals, a cooperative helper, a competitive maximizer, and a deceptive agent, are sharing resources in a number of rounds. I would like to observe how the different goals of the agents affect the emotions of the agents. Each time the agents meet, I interpret their communications to assign them numerical values that measure the intensity of their perceived positivity, excitement, or …
Kenyon Collegiate - September 26, 2025
Kenyon Collegian - September 25, 2025
A Total Modernity And Alternative Avant-Garde Art In China, Ming-Lu Gao 高名潞
A Total Modernity And Alternative Avant-Garde Art In China, Ming-Lu Gao 高名潞
Zhou Documents
In this paper, Gao discusses "twentieth century Chinese avant-garde in two major periods: the avant-garde of the 1920s and 1930s; and the contemporary avant-garde of Post-Mao era - the 1980s and 1990s." (Nicole Wang '26)
"On Mao Zedong's Model Of Popular Art", Ming-Lu Gao 高名潞
"On Mao Zedong's Model Of Popular Art", Ming-Lu Gao 高名潞
Zhou Documents
In this essay, Gao Ming-lu analyzes the state of avant-garde and modern art during the era of Mao Zedong's regime. Written in traditional Chinese, the essay is broken up into two subsections: "Maoist Pop-Art and Authoritarian Art" and "The Development of Maoist Pop-Art". (Nicole Wang '26)
Kenyon Collegian - September 18, 2025
Kenyon Collegiate - September 12, 2025
Regarding Chinese Conceptual Art (Essay), Da-Wei Fei 费大为
Regarding Chinese Conceptual Art (Essay), Da-Wei Fei 费大为
Zhou Documents
This is an essay, titled "On Conceptual Art in China," written by the Paris-based art critic about the origin and state of Chinese Conceptual Art. The corresponding document is an abstract of the essay written by Zhou Yan. (Nicole Wang '26).
Resume, Da-Wei Fei 费大为
Resume, Da-Wei Fei 费大为
Zhou Documents
Resume of Fei Da-Wei, a Paris-based Chinese art critic and curator (in English). (Nicole Wang'26).