Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Kenyon College

Discipline
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 31 - 60 of 112900

Full-Text Articles in Entire DC Network

Ai Tool Assessment Framework, Beronica Avila, R. Jordan Crouser, Katherine Elkins, Lisa Morrison, Jenna E. Nolt Apr 2026

Ai Tool Assessment Framework, Beronica Avila, R. Jordan Crouser, Katherine Elkins, Lisa Morrison, Jenna E. Nolt

Instructions, Forms, and Toolkits

A resource to assist with making decisions about purchasing AI tools


Chalmers Library Research Award Winner 2026, Cooper Bertschi Apr 2026

Chalmers Library Research Award Winner 2026, Cooper Bertschi

Chalmers Library Research Award

No abstract provided.


Kenyon Collegiate - Special Issue 2026 Apr 2026

Kenyon Collegiate - Special Issue 2026

Kenyon Collegiate

No abstract provided.


Language And Polarization: A Psycholinguistic Analysis Of Political Communication During Trump's Second Term, Andrew Vera Apr 2026

Language And Polarization: A Psycholinguistic Analysis Of Political Communication During Trump's Second Term, Andrew Vera

IPHS 300: AI for Humanity

This project uses psycholinguistics—the systematic measurement of psychological orientation through language —to examine political communication from when Trump took office in his second presidency to the start of the Iran war—January 20, 2025 through February 28, 2026. I asked whether elite political language during this period reflects what Robert Putnam calls bonding social capital (inter -group reinforcement) or bridging social capital (cross-group connection), a dichotomy relevant to theory of democratic depolarization. To answer that, I scraped 16,707 documents —7,409 of Trump's Truth Social posts and 9,298 White House, State Department, and Department of Defense press releases —an d scored each …


The Digital Supreme Court: A Meta-Analysis Of Antitrust Retrospectives Using Frontier Llms, Pablo Portillo Apr 2026

The Digital Supreme Court: A Meta-Analysis Of Antitrust Retrospectives Using Frontier Llms, Pablo Portillo

IPHS 300: AI for Humanity

This project examines whether frontier Large Language Models (LLMs) can serve as structured “expert critics” in economic and legal reasoning. I built a panel of AI judges composed of GPT-5.5, Opus 4.7, and DeepSeek V4, to evaluate three antitrust merger retrospectives: Carlton et al. (2022) on AT&T/Time Warner, Hazlett and Crandall (2024) on T-Mobile/Sprint, and Argentesi et al. (2021) on Facebook/Instagram plus Google/Waze. Using a 10-factor weighted rubric, the panel scored each paper on empirical alignment, parameter robustness, counterfactual validity, dynamic adaptability, and analytical rigor. I then synthesized the nine evaluations as the “Highest Judge,” comparing where the models converged, …


Confident And Wrong : How Llm Miscalibration Mirrors The Dunning-Kruger Effect Across Ambiguity Levels, Maggie Grespin Apr 2026

Confident And Wrong : How Llm Miscalibration Mirrors The Dunning-Kruger Effect Across Ambiguity Levels, Maggie Grespin

IPHS 300: AI for Humanity

Psychology gave us the Dunning-Kruger effect, the observed pattern that a person is often overconfident when they fall in the lowest quartile of that skill’s proficiency. This research is interested in seeing if large language models (LLMs) suffer the same miscalibration of metacognitive skills. Using thirty deliberately ambiguous college-level math question prompts, this research assesses Claude Sonnet 4.6’s ability to interpret each question, provide an answer, and rate its own confidence without asking for clarification. Results show that while confidence appropriately drops at the moderate tier, it rebounds on the hardest questions (0.840) even as accuracy falls to 0.450. This …


Whose Vietnam War? How Llms Answer Contested History In Three Languages, Melissa Vu Apr 2026

Whose Vietnam War? How Llms Answer Contested History In Three Languages, Melissa Vu

IPHS 300: AI for Humanity

As a Vietnamese international student studying in the US, I grew up learning one version of the Vietnam War -or, as we call it in Vietnamese, the American War -in Vietnamese history classes, only to encounter different perspectives in American college classrooms. Taking Chinese language courses and spending a semester abroad in China sharpened this further as the same historical events looked different again through Chinese sources. These experiences made me aware of how language shapes the way information and historical knowledge get presented and understood. Since LLMs are trained on data reflecting many cultures and languages, I wanted to …


Know Thyself: A Conversation That Reveals How You Think: Adaptive Ai Assessment Across Eight Psychometrically Grounded Metrics, Adam Leider Apr 2026

Know Thyself: A Conversation That Reveals How You Think: Adaptive Ai Assessment Across Eight Psychometrically Grounded Metrics, Adam Leider

IPHS 300: AI for Humanity

AI's ability to assess human cognitive and psychological patterns through natural conversation is an underexplored area with significant potential, particularly for college students navigating a demanding and overwhelming transitional period. This project involved selecting eight psychometrically grounded metrics, designing an adaptive question bank and detailed system prompt to govern the assessment conversation, building a second AI model to review and correct results before they are shown, and deploying the full application as a publicly accessible web tool. The result is a conversational assessment that delivers a personalized psychological profile, including strengths, areas for growth, metric interactions, and actionable suggestions in …


Face-Work In Frontier Models: Benchmarking Sycophantic Behavior In Llm-Based Educational Tutoring, Nick Chen Apr 2026

Face-Work In Frontier Models: Benchmarking Sycophantic Behavior In Llm-Based Educational Tutoring, Nick Chen

IPHS 300: AI for Humanity

Since OpenAI’s famous rollback of GPT-4o for being “overflattering” in April 2025, sycophancy in large language models, which reflects the tendency to prioritize user satisfaction over truthfulness, has become a major concern in AI alignment. Sycophancy is widely recognized as a byproduct of Reinforcement Learning from Human Feedback (RLHF) and deserves attention in educational contexts where such responses to student errors will reinforce misconceptions. This project builds on the social sycophancy framework introduced by Cheng et al. (2025) in ELEPHANT, which applies sociologist Goffman's classical theory of face work to LLM behavior, extends it to educational settings, and raises the …


Whose Ethics? Auditing The Moral Defaults Of Large Language Models Against Ubuntu Philosophy, Davelle Akosua Ampofo-Twumasi Apr 2026

Whose Ethics? Auditing The Moral Defaults Of Large Language Models Against Ubuntu Philosophy, Davelle Akosua Ampofo-Twumasi

IPHS 300: AI for Humanity

As LLMs are deployed globally, the moral framework they u se matters. This study tested if four frontier LLMs default to Western ethics and how naming Ubuntu, a communal Southern African philosophy, changes their moral reasoning. Five dilemmas were presented to Claude Opus 4.7, GPT-5.4, Gemini 2.5 Flash, and DeepSeek V3, unprompted and with Ubuntu named. Responses were scored on seven Ubuntu dimensions (e.g., relational inclusion, dignity, reciprocity). All models defaulted to Western individualist reasoning when unprompted. With Ubuntu named, DeepSeek (57/70) and Claude (56/70) significantly outperformed GPT and Gemini (32/70 each). Gaps were largest in reciprocity and relational inclusion. …


Ai Mcat Tutor: Personalized Study Planning, Daily Check-Ins, & Slideshow Generator For Pre-Medical Students, Luke Latterman Apr 2026

Ai Mcat Tutor: Personalized Study Planning, Daily Check-Ins, & Slideshow Generator For Pre-Medical Students, Luke Latterman

IPHS 300: AI for Humanity

Preparing for the Medical College Admission Test (MCAT) is among the most demanding academic challenges facing pre-medical students, yet access to professional tutoring remains prohibitively expensive for many. This paper describes the design, implementation, and iterative evaluation of an AI-powered tutoring system built using Claude Code, Anthropic’s command-line interface for the Claude large language model, intended to serve pre-medical students directly, whether or not they have access to a professional tutor. The system integrates three components: a personalized multi-phase study schedule generator, a daily check-in assistant, and an AI-driven instructional slideshow generator for targeted content review. Each component was designed …


Kenyon Collegian - March 26, 2026 Mar 2026

Kenyon Collegian - March 26, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegian - March 19, 2026 Mar 2026

Kenyon Collegian - March 19, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegiate - February 27, 2026 Feb 2026

Kenyon Collegiate - February 27, 2026

Kenyon Collegiate

No abstract provided.


Kenyon Collegian - February 26, 2026 Feb 2026

Kenyon Collegian - February 26, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegiate - February 20, 2026 Feb 2026

Kenyon Collegiate - February 20, 2026

Kenyon Collegiate

No abstract provided.


Kenyon Collegian - February 19, 2026 Feb 2026

Kenyon Collegian - February 19, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegian - February 12, 2026 Feb 2026

Kenyon Collegian - February 12, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegian - February 5, 2026 Feb 2026

Kenyon Collegian - February 5, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegiate - January 30, 2026 Jan 2026

Kenyon Collegiate - January 30, 2026

Kenyon Collegiate

No abstract provided.


Kenyon Collegian - January 29, 2026 Jan 2026

Kenyon Collegian - January 29, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegian - January 22, 2026 Jan 2026

Kenyon Collegian - January 22, 2026

The Kenyon Collegian

No abstract provided.


Kenyon Collegian - January 15, 2026 Jan 2026

Kenyon Collegian - January 15, 2026

The Kenyon Collegian

No abstract provided.


Long-Distance Exchanges In The Art Of The First Millenium, Lawrence Nees Jan 2026

Long-Distance Exchanges In The Art Of The First Millenium, Lawrence Nees

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.


Indo-Gothic Architecture And The Reproduction Of Medieval Political Logic In Colonial Calcutta, Sreeja Chowdhury Frsa Jan 2026

Indo-Gothic Architecture And The Reproduction Of Medieval Political Logic In Colonial Calcutta, Sreeja Chowdhury Frsa

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.


Redeemed Through The Beauty Of Sacred Spaces: How “Church Crawling” Proved To Be A Gift That Never Stops Giving., Cathy Stillman-Lowe Jan 2026

Redeemed Through The Beauty Of Sacred Spaces: How “Church Crawling” Proved To Be A Gift That Never Stops Giving., Cathy Stillman-Lowe

Peregrinations: Journal of Medieval Art and Architecture

No abstract provided.


Hika - 2025-2026 Jan 2026

Hika - 2025-2026

HIKA Literary Magazine

No abstract provided.


Pvn-Ceramics-Op 202-Ceramic Analyses, Edward Schortman, Patricia Urban Jan 2026

Pvn-Ceramics-Op 202-Ceramic Analyses, Edward Schortman, Patricia Urban

Four Valleys Archive

No abstract provided.


Pvn-Ceramics-Op 202-Ceramic Analyses, Patricia Urban, Edward Schortman Jan 2026

Pvn-Ceramics-Op 202-Ceramic Analyses, Patricia Urban, Edward Schortman

Four Valleys Archive

No abstract provided.


Illusions Of The Brain, Vaso Manakou Jan 2026

Illusions Of The Brain, Vaso Manakou

Scientific Kenyon: The Neuroscience Edition

No abstract provided.