Digital Commons Network^™

Feeling Like A Woman: Interoception And The Objectified Body, Tomi-Ann Roberts, James W. Pennebaker, Benita Jackson

Psychology: Faculty Publications

Much of the interoception literature assumes that people can accurately detect their heart rate, stomach contractility, muscle tension, and other biological cues. This is not true. Instead, interoception is an active integrative psychological process where the feeling of one’s internal state emerges from physiological signals, contextual cues, and the social and cultural experiences of living in a body. Thinking of interoception this way shifts the focus from measuring accuracy at detecting biological signaling to studying lived experience. One such experience is the widespread objectification of women’s bodies. Living in a body that is chronically evaluated creates a particular form of …

Beyond A Protagonist Bias In Narrative Identity Research: Methods For Identifying Master Narratives In Interview Data, Andrew D. Coppens, Jayson Seaman, Cindy Hartman

Faculty Publications

This article advances a methodological shift in narrative identity research by addressing the field’s protagonist bias – the tendency to rely on first-person autobiographical accounts as the primary evidence for identifying cultural master narratives. We integrate Erikson’s psychosocial identity framework, Vygotsky’s “tool and result” methodological insight, and sociolinguistic approaches to narrative to develop a three-stage analytic logic: (1) identifying small-n narratives through scenes conveyed in discourse; (2) grouping these into Big-N narratives that cohere thematically across scenes (Tannen, 2007, 2008); and (3) assessing candidate master narratives using McLean and Syed’s (2016) five criteria. We demonstrate this approach through a case …

Spanglish: Un Viaje Al Pasado Observado Por El Presente, Nyleen Benavides, Raquel Christopherson, Rose Jouini, Kennedy Kuchta

Posters - 2026

Since its founding in 1852, St. Mary’s University has evolved from a small institution into a diverse and inclusive community that has worked to overcome discriminatory barriers. Originally founded to serve Mexican students in underserved communities, the university has reflected San Antonio’s Cultural diversity since its earliest years. Its founder, Reverend John Marie Odin, envisioned supporting a “melting pot” of cultures within the city (Flores, 2019). While the university has grown significantly in enrollment, Hispanic culture and traditions have remained a central part of its identity. Today, with over two thousand students enrolled, St. Mary’s University continues to not only …

Slurry-As-A-Service: A Modest Proposal On Scalable Pluralistic Alignment For Nutrient Optimization, Rachel Hong, Yael Eiger, Jevan Hutson, Os Keyes, William Agnew

Articles

Pluralistic alignment has emerged as a promising approach for ensuring that large language models (LLMs) faithfully represent the diversity, nuance, and conflict inherent in human values. In this work, we study a high-stakes deployment context—mulching—where automated systems transform selected individuals into nutrientrich slurry for the dual purposes of food security and aesthetic population management. Building on recent pluralistic alignment frameworks, we introduce ValueMulch™, a reproducible training, deployment, and certification pipeline for aligning mulching models (MMs) to a wide range of community norms. Through a real-world testbed spanning 32 communities, we show that ValueMulch™ improves distributional agreement with community mulching preferences …

A Qualitative Examination Of Mentoring Practices For First-Generation, Low-Income Stem Students Through A Critical Intersectionality Lens, Christina Torres Garcia, Laura Zamudio-Orozco, Martin Meraz Garcia

All Faculty Scholarship for the College of Arts and Humanities

This study examines the mentoring experiences of first-generation, lowincome, and underrepresented students in STEM through the lens of Critical Intersectional Mentoring (CIM). Drawing on testimonios from McNair Scholars, this study identifies the systemic barriers and power dynamics that shape mentoring relationships and limit academic success. Traditional mentorship models often ignore intersecting identities, leading to experiences of marginalization, mentor absenteeism, and cultural disconnection. The CIM framework integrates Critical Race Theory, Intersectionality, and Culturally Responsive Pedagogy to reframe mentoring as a social justice practice grounded in equity, empowerment, and relational trust. Using qualitative content analysis of pláticas, the study uncovers three key …

Rethinking News Classification Through A Multi-Dimensional Framework, Luana De Jesus Ferreira

Honors Theses

This thesis proposes a multi-dimensional framework for news classification that evaluates articles across three independent dimensions: headline accuracy, language neutrality, and content reliability. These dimensions produce both a continuous reliability score and a five-tier interpretive scale, while additionally classifying articles by genre and topic. To operationalize this framework, a structured annotation protocol was developed and applied to a dataset of 373 news articles drawn from 79 outlets spanning a wide range of contemporary media ecosystem. A binary Logistic Regression classifier trained on the ISOT Fake News Dataset was then evaluated against this dataset to examine how a model trained on …

Bridging Communities Through Sport: A Social Work Study On Refugees Teaching Cricket To American Citizens, Nafees Alam

Social Work Faculty Publications

This qualitative study explores the psychosocial and communal impacts of a reciprocal integration initiative where refugees from Afghanistan, Pakistan, and Somalia taught cricket to Americans in New York City, New York and Boise, Idaho (2022–2024). Grounded in Erikson's psychosocial theory and Bandura's self-efficacy framework, the study examines how sport fosters dignity, self-determination, and cross-cultural cohesion. This study recruited 15 refugee coaches and 30 American learners using qualitative methods through interviews, focus groups, and observations. Findings reveal refugee coaches gained self-worth and resolved Eriksonian conflicts, while 78% of American learners reported reduced stereotypes. Cricket fostered social capital, transforming public parks into …

The Eye: A Science-Fiction Screenplay Examining Space-Time, Meteorology, And Human Connection, Ella K. Lukowiak

Senior Theses

This thesis explores the nature of time, meteorology, and human interconnection to the universe through the lens of a science-fiction screenplay. The creative project spans a three-act, detailed outline, and a screenplay draft of Act I. It is based upon extensive scientific research regarding hurricane development, the inner workings of organizations such as the National Weather Service, Einstein’s Theory of Relativity, and the space-time continuum. I will delve into the various factors that shaped my science-fiction premise, including pivotal films such as Christopher Nolan’s INTERSTELLAR (2014) and Denis Villeneuve’s ARRIVAL (2016). Both of these filmmakers integrated complex science-fiction concepts into …

Reevaluating Pediatric Concussion Recovery: The Need For Comprehensive Psychological Assessments, Jolie L. Slobodin

Senior Theses

Pediatric concussions represent a significant public health concern due to their complex and often long-lasting effects on the developing brain. Although concussion is classified as a mild traumatic brain injury (mTBI), growing evidence indicates that children and adolescents experience psychological, cognitive, and academic difficulties that extend beyond physical symptom resolution. While somatic and cognitive symptoms often predominate in the acute phase of recovery, emotional and behavioral concerns frequently emerge or persist later, yet remain inconsistently evaluated in standard concussion care. This thesis examines the psychological, cognitive, and academic outcomes of pediatric concussion and evaluates whether current assessment practices capture the …

Main Concept Analysis As A Predictor Of Aphasia Severity: Semantic, Phonological, And Executive Influences On Main Concept Performance, Chathurvedi Ganguru

Senior Theses

Main Concept Analysis is a discourse-based measure that captures the essential information conveyed during narrative speech and may serve as a functional indicator of communication ability in aphasia. This study will examine whether Main Concept composite scores derived from the Cinderella narrative task are associated with aphasia severity and identify the linguistic and cognitive factors that influence Main Concept performance. Participants will be drawn from the baseline cohort of the POLAR study and will include approximately 100 individuals with chronic post-stroke aphasia. Baseline measures include Western Aphasia Battery Aphasia Quotient, Pyramids and Palm Trees Test, Philadelphia Repetition Test, and Wechsler …

A Topic Modeling Analysis Of Stigma Dimensions, Social, And Related Behavioral Circumstances In Clinical Notes Among Patients With Hiv, Ziyi Chen, Yiyang Liu, Mattia Prosperi, Krishna Vaddiparti, Robert L Cook, Jiang Bian, Yi Guo, Yonghui Wu

Faculty, Staff and Student Publications

Objective: To characterize stigma dimensions, social, and related behavioral circumstances in people living with HIV (PLWHs) seeking care, using natural language processing methods applied to a large collection of electronic health record (EHR) clinical notes from a large integrated health system in the southeast United States.

Methods: We identified a cohort of PLWHs from the University of Florida (UF) Health Integrated Data Repository and performed topic modeling analysis using Latent Dirichlet Allocation (LDA) to uncover stigma-related dimensions and related social and behavioral contexts. Domain experts created a seed list of HIV-related stigma keywords, then applied a snowball strategy to iteratively …

Eating For Healthy Eyes: The Role Of Nutrition In Ocular Health, Brianna Stroh

Honors Program: Senior Projects (Public)

The central research question of this thesis asks: How does nutrition influence ocular health overall and the impact of nutrition on the development or progression of common eye diseases? Building upon existing research in optometry/ophthalmology, nutrition science, and public health, this project examines the physiological mechanisms linking diet to eye health and evaluates how specific nutrients and dietary patterns contribute to disease prevention and visual function. This thesis employs a comprehensive review of peer-reviewed literature to evaluate the relationship between nutrition and ocular disease. Key areas of focus include the role of oxidative stress in eye disease development, the protective …

Bridging Gaps: Enhancing Sleep And Health Disparities In Latino Families With Young Adults With Autism Using A Culturally Adapted Intervention, Antonio F Pagán, Alejandro L Pagán, Linda Hernandez, Matthew R Cribbet, Katherine A Loveland, Ron Acierno

Faculty, Staff and Student Publications

The present study examined the effects of a culturally adapted intervention, ¡Iniciando! la Adultez, on sleep and health-related quality of life (HRQoL) in Latino young adults with autism spectrum disorder (ASD) and their Spanish-speaking parents. The intervention targeted the transition to adulthood, a period associated with increased challenges in sleep and HRQoL, particularly for underserved Latino populations. Participants included 26 young adults and 38 parents who completed assessments at baseline and post-treatment. The results indicated significant improvements in several HRQoL domains for both groups, with young adults reporting enhanced emotional well-being, social functioning, and general health. Parents experienced notable improvements …

Identifying The Barriers Bilingual Parents Face In The Special Education Process, Miranda Leah Hernandez

Electronic Theses and Dissertations

Increasing parental involvement in the special education process means parents, teachers, and school administrators can unite to educate the children. The problem that the researcher identified was that emergent bilingual families struggle to become meaningful participants in their children’s individualized education plans. This was a qualitative case study that identified the barriers that bilingual parents face within the special education process and the recommendations from bilingual parents on how to help them become more meaningful members of their child’s individualized education plan. The population within the research included bilingual families with children in the greater Houston, Texas area who have …

The Vital Role Of Communication In Elementary Education: Strategies For Bridging Language, Cultural, And Diversity Gaps To Strengthen Family-School Partnerships, Daniel H. Rack

Dissertations

This study examines how communication systems in elementary schools influence equitable family engagement within a linguistically and culturally diverse, Title I context. The purpose of this research is to evaluate how communication practices support or limit access, participation, and partnership between schools and families. The overarching research question guiding this study is: How do current communication systems support or constrain equitable family engagement? A convergent mixed-methods design was utilized to collect and analyze both quantitative and qualitative data. Data sources included educator surveys, family surveys, and focus group interviews, allowing for a comprehensive understanding of communication practices from multiple stakeholder …

Narratives Of Dis-Ease: A Genre Study Of Pathography, Sylvelyn Jo A. Almanzor

Akda: The Asian Journal of Literature, Culture, Performance

This essay establishes pathography as a distinct genre of creative nonfiction, tracing the development, form, and cultural significance of this body of literature. I have broadly defined it as narratives on personal experiences of Gabriel Marcel's "dis-ease"—covering and critiquing the human understanding and experience of sickness, pain, and grief—which has evolved from autobiographical narratives and life-writing of patients and medical professionals to a recognized form of creative nonfiction. This study will analyze the genre's structure, themes, and rhetorical strategies with consideration to cultural significance and how it negotiates the human understanding of suffering, healing, and societal attitudes toward existence and …

Gregor Samsa’S Pagkagimata (Awakening) In Bikol: A Becoming-Minor In Translation, Victor John M. Loquias

Akda: The Asian Journal of Literature, Culture, Performance

Kristian Cordero’s translation of Franz Kafka’s Metamorphosis instantiates what the philosophers Gilles Deleuze and Felix Guattari call minor literature. Preferring the Bikol term Pagkagimata—the literal event of Gregor Sama’s becoming-animal in the novel as title of the translation and the utilization of the Rinconada Bikol language for the transformed Samsa—Cordero has typified a perspective of translation that challenges the popular view of fluent translation from the source text to the target language. Exemplifying the concept of becoming-minor of Deleuze and Guattari and deploying Lawrence Venuti’s notion of the “remainder,” An Pagkagimata ni Gregor Samsa exhibits a deterritorialization of Bikol …

Hitler Must Be Killed: A Wwii Case Study, Jeffrey Byford, Presley Shilling, Alisha Milam

The Councilor: A National Journal of the Social Studies

Social studies education during the 1960s experienced an educational renaissance known as the new social studies movement. Over 50 projects were funded by the National Science Foundation or private corporations to interject a student-centered curriculum into K-12 classrooms during this period. Nearly 60 years later, can student-centered decision-making activities be used in an era of high-stakes testing and planned curriculum? This article attempts to rekindle students' interest in decision-making and discussion by exploring elements in Moral Reasoning: The Value of Life from the Harvard Social Studies Project (HSSP). The activity called "Hitler Must Be Killed" helped students bring the content …

Cultivating Teacher Agency: Professional Development For Culturally Sustaining Environmental Stem Education In South Texas, Uma Ganesan, Angela M. Chapman, Alexander Hernandez

Teaching and Learning Faculty Publications

This qualitative multiple-case study examined how culturally and linguistically sustaining environmental STEM (CLSE-STEM) professional development transformed in-service teachers' practices across three South Texas high schools serving predominantly Hispanic populations. Through a three-phase design, eight STEM teachers participated in sustained professional learning focused on implementing culturally situated, liberatory pedagogies addressing educational inequities. Data included focus group interviews, classroom observations, teacher-created curricula, and student artifacts collected from Spring 2024 to Spring 2025. Findings revealed five interconnected themes demonstrating teachers' evolution from deficit-based to asset-based approaches: place-based environmental stewardship, strategic translanguaging implementation, teacher agency development, enhanced student engagement, and elder knowledge integration. Results …

Ai Models As Cultural Beings: Investigating Ai Cultural Biases And The Impact Of Cultural Alignment On Human-Ai Creative Collaboration, Choon Ngee Tan, Meng Han, Roy Y. J. Chua, Chi-Ying Cheng

Research Collection Lee Kong Chian School Of Business

Existing research on AI cultural biases predominantly focuses on Western models, overlooking critical gaps in non-Western models. We conduct a comparative analysis of AI models – ChatGPT (U.S. developed) and ErnieBot (China developed) – from different cultures to investigate how corresponding cultural biases manifest in their outputs. Additionally, we examine how cultural alignment between human users and AI models impacts their collaborative creative performance and the underlying psychological mechanisms. In Study 1, multi-choice prompt with zero-shot technique was used to evaluate cultural biases in four widely used AI models – ChatGPT-3.5/4, ErnieBot-3.5/4 – comparing their responses to established cultural psychometric …

Influence Of Restorative Justice Practices On Student Behavior, Shawn N. Clemons

Electronic Theses and Dissertations

The purpose of this qualitative exploratory case study was to explore how teachers in culturally diverse suburban U.S. elementary schools perceive the implementation of restorative justice practices as an influence on student behavior. The researcher collected data through questionnaires and semistructured interviews of 14 elementary teachers currently employed in a suburban elementary school who actively use restorative justice with students. Findings from the study indicated the restorative justice practices contribute positively to school culture by prioritizing relationship building, structured conflict resolution, and inclusive practices. The findings from this study can be used with teachers, administrators, district support, and school board …

Propaganda Ai: An Analysis Of Semantic Divergence In Large Language Models, Nay Myat Min, Long H. Pham, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large language models (LLMs) can exhibit concept-conditioned semantic divergence: common high-level cues (e.g., ideologies, public figures) elicit unusually uniform, stance-like responses that evade token-trigger audits. This behavior falls in a blind spot of current safety evaluations, yet carries major societal stakes, as such concept cues can steer content exposure at scale. We formalize this phenomenon and present RAVEN (Response Anomaly Vigilance), a black-box audit that flags cases where a model is simultaneously highly certain and atypical among peers by coupling semantic entropy over paraphrastic samples with cross-model disagreement. In a controlled LoRA fine-tuning study, we implant a concept-conditioned stance using …

Where Did It Go Wrong? Attributing Undesirable Llm Behaviors Via Representation Gradient Tracing, Zhe Li, Wei Zhao, Yige Li, Jun Sun

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have demonstrated remarkable capabilities, yet their deployment is frequently undermined by undesirable behaviors such as generating harmful content, factual inaccuracies, and societal biases. Diagnosing the root causes of these failures poses a critical challenge for AI safety. Existing attribution methods, particularly those based on parameter gradients, often fall short due to prohibitive noisy signals and computational complexity. In this work, we introduce a novel and efficient framework that diagnoses a range of undesirable LLM behaviors by analyzing representation and its gradients, which operates directly in the model's activation space to provide a semantically meaningful signal linking …

Llmqua: Practical Backdoor Injection On Large Language Model Quantization, Xiangxiang Chen, Peixin Zhang, Jun Sun, Jin Song Dong, Wenhai Wang, Jingyi Wang

Research Collection School Of Computing and Information Systems

Quantization is widely used to enable local deployment of large language models (LLMs) on resource-constrained devices. Recent work (e.g., QuRA) shows quantization can be exploited via rounding manipulation to implant backdoors. However, such an attack has been evaluated only on small models and does not directly apply to LLMs due to three key constraints: (1) limited poisoning data from small, task-agnostic calibration sets; (2) layer-wise quantization restricting adversarial access to global representations; and (3) lack of gradient access in quantization pipelines, blocking gradient-based attacks.We propose LLMQuA, a practical quantization-phase backdoor attack tailored to the LLM setting. LLMQuA (i) injects backdoors …

Reasoning On Time-Series For Financial Technical Analysis, Kelvin J. L. Koa, Jan Chen, Yunshan Ma, Huanhuan Zheng, Tat-Seng Chua

Research Collection School Of Computing and Information Systems

While Large Language Models have been used to produce interpretable stock forecasts, they mainly focus on analyzing textual reports but not historical price data, also known as Technical Analysis. This task is challenging as it switches between domains: the stock price inputs and outputs lie in the time-series domain, while the reasoning step should be in natural language. In this work, we introduce Verbal Technical Analysis (VTA), a novel framework that combine verbal and latent reasoning to produce stock time-series forecasts that are both accurate and interpretable. To reason over time-series, we convert stock price data into textual annotations and …

Nlp Crowdsourcing For Predominantly Oral Languages: The Case Of Bambara, Allahsera Auguste Tapo

Theses

Predominantly oral languages (POLs) face a significant "digital divide," as they are often excluded from the benefits of modern natural language processing (NLP) technologies, due to a lack of extensive, readily available machine learning (ML) datasets. We investigate methods to overcome this data scarcity for Bambara, a Manding language, spoken primarily in Mali, with a rich oral tradition but limited digital presence.     The research leverages crowdsourcing and community engagement to build high-quality ML ready dataset resources. Key contributions include methods for automatic speech recognition (ASR) and machine translation (MT) dataset collection and curation and for educational resource creation.      Our findings …

What It Means To Be Latino: Exploring Identity Among U.S.-Born Gen Z Youth, Santiago Reyes, Alessandra Noli Peschiera, Melany Sarcevic, Tatiana Garcia, Leen Tlanepantla

AMTP Proceedings 2026

This study explores how U.S.-born Hispanics and Latinos define their identity within a rapidly growing and increasingly diverse demographic group. As the Hispanic population expands, traditional labels such as Hispanic and Latino often fall short of capturing the community’s cultural, linguistic, and generational complexity. With most growth now coming from U.S.-born generations, identity is shaped by a blend of American influences and heritage traditions, making it more fluid and context-dependent. Guided by Social Identity Theory and Hofstede’s cultural dimensions, this research uses focus groups with Gen Z participants to examine how they describe themselves, what characteristics they associate with being …

Conversation Analysis Of Public-Servant And Persons-Of-Interest Face-To-Face Talk Via Llm‑Supported Ai Script Mapping Tools, Arch G. Woodside, Suresh Sood

AMTP Proceedings 2026

Professional public servants (PSs) including police officers, postal workers, and government tax office and DMV employees interact face-to-face with citizens/persons of interest (POIs), in encounters that are frequently recorded using mobile phones and publicized on platforms such as YouTube.com. Building on our observations about recurrent PS–POI scripts and LLM-supported analysis, we develop five grounded propositions linking enacted scripts to existing theory. The propositions focus on describing early turn-taking asymmetry, the importance of sequential detail beyond-shallow analysis, the predictive role of script recurrence, the value of rich, script-based role-play, and the potential of narrative-intelligence databases for institutional learning. Instead of treating …

Negotiating At A Distance: The Impact Of Communication Media And Negotiator Traits, Dorcas Quek Anderson, Tra My Ngo

Research Collection Yong Pung How School Of Law

Purpose – Prior research has yet to provide a coherent theoretical framework explaining how communication media hinder or advance negotiation success, and many dated studies are unlikely to be relevant. This study aims to examine the impact of four communication media on negotiation outcomes. It also examines the potential moderating effects of the following negotiator characteristics: conflict management style, personality traits and indirect communication style.Design/methodology/approach – A total of 400 participants formed 200 dyads to negotiate a mixed- motive relational conflict through face-to-face (FTF) interaction, videoconferencing, audio call or synchronous text messaging. Linear mixed regression was used to assess the …

On Autopilot? An Empirical Study Of Human-Ai Teaming And Review Practices In Open Source, Haoyu Gao, Peerachai Banyongrakkul, Hao Guan, Mansooreh Zahedi, Christoph Treude

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) increasingly automate software engineering tasks. While recent studies highlight the accelerated adoption of “AI as a teammate” in Open Source Software (OSS), developer interaction patterns remain under-explored. In this work, we investigated project-level guidelines and developers’ interactions with AI-assisted pull requests (PRs) by expanding the AIDev dataset to include finer-grained contributor code ownership and a comparative baseline of human-created PRs. We found that over 67.5% of AI-co-authored PRs originate from contributors without prior code ownership. Despite this, the majority of repositories lack guidelines for AI-coding agent usage. Notably, we observed a distinct interaction pattern: AI-co-authored PRs …