Digital Commons Network^™

Language Attitudes And Stereotypes Condition The Processing Of Contact-Induced Linguistic Variants, Sonia Barnes, Whitney Chappell

Spanish Languages and Literatures Research and Publications

This study examines the effect of language attitudes and stereotypes on vowel perceptions by two groups of listeners from Asturias, Spain that differ in their relationship with the languages present in their communities: Spanish, the national majority language, and Asturian, the regional minority language. The responses of 165 participants from the Nalón Valley (a mining area in the region) were compared with those of 156 listeners from Gijón (the largest urban area) as they categorized words containing synthesized productions of Spanish [o] and Asturian [u] in a task that combined binary forced-choice identification and visual priming. The results of a …

Towards Auto-Evaluation For Large Language Models, Jiahao Ying

Dissertations and Theses Collection (Open Access)

The rapid advancement of large language models (LLMs) has created an urgent need for evaluation methodologies that are timely, scalable, reliable, and informative. Conventional evaluation benchmarks, although essential for measuring model capabilities and guiding model development, are often constructed and maintained through labor-intensive human annotation. As LLMs continue to improve through increases in model scale, training data, and computational resources, static benchmarks may quickly lose discriminative power. Moreover, the growing use of large and diverse training corpora increases the risk of benchmark leakage, which can inflate evaluation results and obscure the true capabilities of models. These challenges call for a …

“I” Or “We” In Times Of Crises: Should Marketers Use Individualist Or Collectivist Language When Times Are Tough?, Milad Hour, Golshad Parsimoghadam, Ali Jamei

Journal of Applied Marketing Theory

During the pandemic, as people dealt with fatalities, lockdowns, and the psychological impact of reduced social interactions, some marketing messages still captured significant public attention. What was the key element contributing to the success of these communications during such challenging times? This study focuses on the role of collectivism as a stress-coping mechanism included within marketing communications. Analyzing approximately 56,000 brand-generated posts on Platform X, the research examines how the use of collectivist language (e.g., we, us, etc.) relates to message likability, particularly as the pandemic nears its peak. The findings reveal that collectivist terms are positively associated with the …

The Martha Wright-Reed Act: How The Fcc Took One Step Forward For Communication Equality For Deaf Individuals In Correctional Facilities And How It Could Be Expanded, Ashley Seebold

Seattle University Law Review

For decades, phone companies preyed on incarcerated individuals and their loved ones due to the lack of regulation of jail phone calls.2 In 2021, the average cost of a fifteen-minute jail phone call was about $3.3 In 2022, the average cost rose to $5.74, while some individuals faced an extreme charge of $24.82 for the same amount of time.4 In the early 2000s, consumer advocate and concerned grandmother Martha Wright-Reed called upon the Federal Communications Commission (FCC) to fix the imbalance so she could speak to her incarcerated grandson.5 Eventually, in 2023, the FCC answered her call to action and …

Teaching Telemachus: Learning To Live And Lead In A Flawed World, Sherman J. Clark

Michigan Law Review

A review of The Odyssey By Homer. Translated by Emily Wilson.

From Seizure To Settlement: Liberated Africans, Imperial Law, And Labor In The Indian Ocean World, 1810–1860, Holly S. Mcfate

Master's Theses

This thesis examines the relationship between British antislavery, imperial law, and labor management in the western Indian Ocean during the first half of the nineteenth century. Centered on the 1821 capture and condemnation of the slave schooner Industry by HMS Menai, the study employs a microhistorical methodology to reconstruct the legal and administrative processes that governed the lives of Africans seized from slave ships after their liberation. Drawing upon Vice-Admiralty Court records, Colonial Office correspondence, naval logbooks, and administrative registers from The National Archives (UK) and the Mauritius Archives, the thesis follows the transition of captive Africans from maritime interception …

Perception Is Reality: Evaluating Transportation Satisfaction And Utilization In Continuing Student Housing At Cal Poly, Lucas Owens

Master's Theses

As higher education institutions increasingly mandate on-campus living to foster student success, the built environment becomes a critical determinant of daily mobility. California Polytechnic State University (Cal Poly) is transitioning to a two-year residency requirement and tightening vehicle restrictions. This thesis evaluates how the spatial and built-environment realities of peripheral housing complexes in Cerro Vista Apartments and Poly Canyon Village shape student transportation satisfaction and utilization, and emergency evacuation preparedness.

Employing a mixed-methods approach, this research triangulates data from 79 student surveys and 10 semi-structured interviews. The findings indicate that supplementing traditional metrics of proximity with localized spatial data presents …

Linking (Imagined) Communities: World Language Students' Stereotypical Attributions To Native Speakers And Teachers Of German., Lucian Rothe

Faculty and Staff Scholarship

Abstract This study explores language learners' stereotypical descriptions of native speakers (NSs) of German and their relationship with participants' perceptions of teachers of German. It expands motivation research that employs stereotypes to gain insight into university students' views of target language (TL) speakers (Rothe, 2022, 2025). Sixty‐seven learners of German and 43 learners of other world languages (WLs) pro vided responses about NSs and instructors, while also rating the stereotypes' perceived accuracy. Participants held various stereotypical notions about NSs, reflecting broader societal narratives. Learners of German pro vided more detailed stereotypical descriptions. Both groups considered favorable stereotypes as more accurate …

When Robots Read Westlaw: Linking Inputs And Outputs In Generative Ai Fair Use Analysis, Aaron Lam

Vanderbilt Journal of Entertainment & Technology Law

Generative artificial intelligence has revealed a novel tension in copyright law: a two-stage act (input and output) of copying that traditional fair-use doctrine never squarely anticipated. In the input stage, vast swaths of copyrighted expression are reproduced and ingested to train large language models. In the output stage, those models generate works that may substitute for or dilute the market of the originals. Courts now face both stages. Their rulings diverge when they consider training and outputs together. In Bartz v. Anthropic PBC and Kadrey v. Meta Platforms, Inc., the courts characterized training uses as “highly transformative,” yet reached opposite …

Impact Of Race And Acculturation On Lung Cancer Screening Eligibility: A Multicenter Lung Cancer Cohort Study, Eunji Choi, Christine S. Shusted, Harrison Yang, Haley M. Evans, Julia G. Katcher, Yiwey Shieh, Anil Vachani, Katharine Rendle, Julie A. Barta

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

No abstract provided.

Technology Before, During, And After Incarceration: Current Product Landscape, Sociotechnical Concerns, And Legal Considerations In The U.S. Context, Yael Eiger, Taylor Hansen, Teanna Barrett, Jevan Hutson, Bryce Clayton Newell, Franziska Roesner

Articles

Emerging technology, including AI, is proliferating throughout the U.S. carceral system. These technologies are marketed to prisons and police departments and then procured using taxpayer money. Previous investigative reporting has exposed troubling kickback schemes, unconstitutional data collection practices, and biased algorithmic outcomes in a handful of prominent technologies (e.g., Flock, Palantir, Clearview AI, COMPAS). In this work, we consider the broader ecosystem of carceral technologies: we catalog 122 products from 53 companies selling technology to carceral institutions. In a collaboration among computer science, law, and surveillance studies scholars, we surface sociotechnical, ethical, and legal concerns related to the use and …

Content Matters, Context Matters: Unraveling Behavior Dynamics In An Online Health Community For Tobacco Cessation, Tavleen Singh, Runzhi Zhou, Kayo Fujimoto, Sahiti Myneni

Faculty, Staff and Student Publications

Objectives: The objective of this research was to examine the content and context-specific information diffusion patterns underlying communication pertaining to tobacco use from online health communities (OHCs).

Materials and methods: We utilized a mixed-methods approach comprising multidimensional qualitative coding to identify themes and communication attributes, automated text analysis leveraging advances in large language models (LLMs) to classify message content and context, and social network analysis to examine the dynamics of peer interactions in this study. Using QuitNet, an online tobacco cessation forum (n = 64 632 members, n = 2.39 million forum messages spanning 2000-2015), we extracted message-level features …

From Framework To Practice: Insights About Aligning Foundation Impact And Strategic Positioning In A Trust-Based Philanthropy Era, Nancy Pole, Marie-Andrée Mbengue-Reiver, Anne Loranger-King

The Foundation Review

This article examines how a framework revealing foundations’ distinct orientations towards social impact has been used in practice, illustrating the tool’s utility and areas for refinement through one foundation’s experience.

Originally developed for Quebec’s philanthropic ecosystem, the heuristic positions foundations along two continua: strategic posture (problem-solving versus communitysupporting) and impact focus (grantee outcomes versus foundation outcomes), creating four impact orientation quadrants.

The case reveals productive tensions when different parts of a foundation occupy different quadrants. They are particularly acute for public foundations accountable simultaneously to donors, grantees, government funders, and communities.

These insights inform future framework iterations with a view …

Full Issue

The Foundation Review

No abstract provided.

Effectiveness Of Monetary Policy Communication: Evidence From Textual Analysis Of Daily Newspaper Articles, Bisrat Abebe Woldesilassie

Dissertations

Monetary policy communication has become a crucial tool for central banks to shape market expectations and enhance transparency. The goal of this paper is to measure how effectively the Fed communicates monetary policy through FOMC minutes by analyzing the impact of the release of FOMC minutes on financial markets through textual sentiment analysis of daily newspaper articles. I measure the surprise in the daily news sentiment that is caused by FOMC minutes release. The surprise in the sentiment is calculated as the change in the news sentiment that is measured over three weeks prior to the release of the FOMC …

African American Business Owners' Descriptions Of Experiences With Lending Practices, Wannika R. Muhammad

Electronic Theses and Dissertations

Entrepreneurship has remained an influential and unfulfilled goal for African Americans from the 1800s until now. Due to barriers in lending practices, increased business retention rates for African American business owners still need to be achieved. The lack of credit and lending resources hinders business growth and retention. Although Black-owned firms contribute significantly to the U.S. economy, they remain classified as underutilized entities that benefit the least, without adequate access to financial services, such as banking and lending opportunities. This study’s participants consisted of 12–15 African American business owners in central Texas, through a qualitative descriptive exploration of their experiences …

History To Future: Evolving Agent With Experience And Thought For Zero-Shot Vision-And-Language Navigation, Guangzhao Dai, Shuo Wang, Zihan Wang, Guo-Sen Xie, Yang Yang, Jinshan Pan, Qianru Sun, Xiangbo Shu

Research Collection School Of Computing and Information Systems

Vision-and-Language Navigation in Continuous Environment (VLN-CE) requires an agent to follow language instructions to navigate the target destination. With the advancement of large language models (LLMs), recent efforts have explored adapting them for zero-shot VLN-CE, offering a promising solution in addressing the drawbacks of poor generalization in the training-based paradigm. However, existing LLM-based works primarily perform naive reasoning for decision-making and lack feedback, e.g., reviewing historical errors and predicting future potentials. Consequently, it may suffer from continuous failure for those initial error tasks. In this paper, we rethink LLM-based zero-shot VLN-CE and propose a new paradigm, named EvoNav, to improve …

Task Complexity Matters: An Empirical Study Of Reasoning In Llms For Sentiment Analysis, Donghao Huang, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. We test this claim through a comprehensive evaluation of 504 configurations across seven model families—including adaptive, conditional, and reinforcement learning-based reasoning architectures—on sentiment analysis datasets of varying granularity (binary, five-class, and 27-class emotion). Our findings reveal that reasoning effectiveness is strongly task-dependent, challenging prevailing assumptions: (1) Reasoning shows task-complexity dependence—binary classification degrades up to -19.9 F1% points (pp), while 27-class emotion recognition gains up to  +16.0 pp; (2) Distilled reasoning variants underperform base models by 3–18 pp on simpler tasks, …

"What Is That Data Really Telling You?": How Central Office Leaders Use Equity-Focused Data Practices To Rethink District Improvement, Nadine Sánchez

Theses & Dissertations

Public school districts face growing expectations to advance educational equity while operating within accountability systems that often prioritize measurable performance outcomes. Despite these expectations, less is understood about how central office leaders use data to support equity-focused systems change across schools. This critical exploratory case study examined how central office leaders in one public school district with an explicit commitment to equity used data to advance equity-focused improvement efforts. Guided by culturally responsive school leadership, coherence, and infrastructure of accountability frameworks, the study explored how leaders established a districtwide vision for equity, built capacity for data use, and used data …

A Pruning-Based Question-Answering For Interactive Video Search: A Simple Baseline, Yu Tong Cheng, Phuong Anh Nguyen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

There are various factors affecting the performance of video search. An imprecise query will enlarge search space and reduce the discriminative power of ranking functions. This problem is further exacerbated by the presence of numerous visually or semantically similar videos in large datasets. Consequently, users need to painstakingly browse through many highly similar candidates to locate the search target, leading to increased cognitive load and inefficient searching. Ideally, engaging users through interactive questioning to resolve uncertainties in the search process is an effective strategy for progressively narrowing down the search space. However, despite rapid advances in deep learning, generating informative …

A Novel Hierarchical Multi-Agent System For Payments Using Llms, Donghao Huang, Joon Kiat Chua, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Large language model (LLM) agents, such as OpenAI’s Operator and Claude’s Computer Use, can automate workflows but unable to handle payment tasks. Existing agentic solutions have gained significant attention; however, even the latest approaches face challenges in implementing end-to-end agentic payment workflows. To address this gap, this research proposes the Hierarchical Multi-Agent System for Payments (HMASP), which provides an end-to-end agentic method for completing payment workflows. The proposed HMASP leverages either open-weight or proprietary LLMs and employs a modular architecture consisting of the Conversational Payment Agent (CPA - first agent level), Supervisor agents (second agent level), Routing agents (third agent …

Grammar Expert: A University-Based Grammar Application To Support Grammar Learning And Writing Instruction, Ivy Chan, Yin Teng Chong

Research Collection College of Integrative Studies

Technologies like web-based grammar applications have been integrated into classroom writing pedagogy to enhance students’ learning experiences. Drawing from qualitative findings from students’ interviews and reflection journals over one semester, this technology review focuses predominantly on university students’ perceptions towards an internally developed grammar application, Grammar Expert. Adopting the Technology Affordances and Constraints Theory (TACT) framework, the review identifies that GE’s affordances include promoting engagement in grammar learning, offering a flexible and encouraging environment, and ensuring real-world applicability, while its constraints involve aspects related to a limited user interface. Subsequently, the authors will present their pedagogical narrative on integrating this …

The Russian Fsb – A Concise History Of The Federal Security Service. By Kevin Riehle. Georgetown University Press, 2024., Michael W. Parrott

Journal of Strategic Security

No abstract provided.

Rode: Linear Rectified Mixture Of Diverse Experts For Food Large Multi-Modal Models, Pengkun Jiao, Xinlan Wu, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang

Research Collection School Of Computing and Information Systems

Large Multi-modal Models (LMMs) have significantly advanced a variety of vision-language tasks. The scalability and availability of high-quality training data play a pivotal role in the success of LMMs. In the realm of food, while comprehensive food datasets such as Recipe1M offer an abundance of ingredient and recipe information, they often fall short of providing ample data for nutritional analysis. The Recipe1M+ dataset, despite offering a subset for nutritional evaluation, is limited in the scale and accuracy of nutrition information. To bridge this gap, we introduce Uni-Food, a unified food dataset that comprises over 100,000 images with various food labels, …

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models, Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) have exhibited remarkable advancements in integrating different modalities, excelling in complex understanding and generation tasks. Despite their success, MLLMs remain vulnerable to conversational adversarial inputs. In this paper, we systematically study gaslighting negation attacks—a phenomenon where models, despite initially providing correct answers, are persuaded by user-provided negations to reverse their outputs, often fabricating justifications. We conduct extensive evaluations of state-of-the-art MLLMs across diverse benchmarks and observe substantial performance drops when negation is introduced. Notably, we introduce the first benchmark GaslightingBench, specifically designed to evaluate the vulnerability of MLLMs to negation arguments. GaslightingBench consists of multiple-choice …

A Hybrid Approach To Phishing Email Detection: Leveraging Machine Learning And Large Language Models, Hessa Shamal Biri

Theses

Phishing attacks have reached a new level of sophistication through the deployment of large language models by attackers. The current AI-generated threats defeat existing detection systems which base their operation on past data. The thesis presents a hybrid system for phishing email detection which combines real email data with synthetic LLM-created samples to enhance traditional machine learning classifiers performance. The study created a hybrid dataset of 20,627 emails by combining 18,631 real messages from the Kaggle Email Classification Dataset with 1,996 synthetic emails. The synthetic emails were generated using four large language models LLaMA-3, Falcon, LLaVA, and Mistral to capture …

Mitigating Disparities In Diagnosis Of Dementia, Lycia Tramujas Vasconcellos Neumann, Simin Mahinrad, Erin L. Abner, Soo Borson, Goldie S. Byrd, Maria Carrillo, Lindsay Clark, Anthony N. Correro Ii, Kacie D. Deters, Gladys E. Maestre

School of Medicine Publications

The field of Alzheimer's disease and related dementias (AD/ADRD) is undergoing a transformative shift with a better understanding of disease biology, biomarker-based diagnostics, and disease-modifying therapies. Yet, these advancements risk exacerbating existing disparities in diagnosis and care. The 2024 Alzheimer's Association International Conference (AAIC) Advancements: Exploring Equity in Diagnosis convened interdisciplinary experts to address these inequities and chart a path toward population-generalizable research and practice. This article synthesizes key insights from the conference, highlighting considerations for inclusive and representative research design, ethical approaches in diagnostic disclosure, as well as challenges and solutions at individual, community, and systemic levels to advance …

The Colonial Borders Within: Racial Profiling, Language, And Civil Juries, Jasmine Gonzales Rose

Faculty Scholarship

This Article builds on the scholarship of Kevin R. Johnson, whose work has long illuminated how immigration law and constitutional doctrine have enabled the subordination of Latines through racial profiling,2 language discrimination,3 and exclusion from civic institutions, like juries.4 His analyses of juror exclusion and the importance of a diverse judiciary underscore how the composition of civil and criminal factfinders shapes both recognition of harm and the remedies afforded.5 Long before the current period of intensified, abusive immigration enforcement, his scholarship traced the historical roots of these practices, examined their contemporary manifestations, and revealed the ways in which the law …

International Advice, Mature Democracies And The Venice Commission, Maartje De Visser

Research Collection Yong Pung How School Of Law

The aim of this article is to explore the role and practice of constitutional advice-giving as it relates to mature democracies. More precisely, this article considers how the Venice Commission – the official advisory body for constitutional matters of the Council of Europe – exercises its mandate vis-à-vis such democracies through the delivery of country-specific Opinions, based on a close reading of all such Opinions rendered between 2002 and 2024. It examines the substantive focus of those Opinions, the way they engage with constitutional experiences elsewhere, as well as the tone of the assessment and the approach taken in formulating …

Brief Of Evidence – Bill C-16 Protecting Victims Act, Emma Cunliffe

All Faculty Publications

This brief focuses specifically on the proposal in Bill C-16 to create a new criminal offence of coercive control and the absence of any correlate defence for offences committed by a person who is subject to coercion. Reviewing evidence from research in other jurisdictions that have adopted such an offence (Scotland, England and Wales, and the Australian jurisidictions of NSW and Queensland), as well as Canadian research, there is abundant evidence to suggest that more criminal law, including new offences, will not necessarily increase women’s safety; and in fact, can be predicted to expose women to greater risk of harm …