Digital Commons Network^™

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 …

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.

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, …

Parenting Styles And Experiences Of Parents Of Children With Down Syndrome Displaying Aggressive Behaviors, Melanie Ray

Walden Dissertations and Doctoral Studies

No abstract provided.

The Impact Of Artificial Intelligence And Neuro-Linguistic Programming On Candidate Assessment In Talent Acquisition, Amna Fahim

Dissertations

Digitalization in human resource management led to the implementation of Artificial Intelligence (AI) and Neuro Linguistic Programming (NLP) in recruitment practices. However, although AI and NLP were adopted globally, the empirical evidence in emerging countries, especially Pakistan, was scanty. Hence, this study investigated the impacts of individually and jointly implementing AI and NLP on candidate assessment outcomes in the telecommunications industry in Pakistan. According to the literature, this study is grounded in Technological Determinism, Machine Learning Theory, Psycholinguistic Theory, and Cognitive Behaviorism. A quantitative correlational approach was used in this study. To investigate the proposed research questions, descriptive statistics, Pearson …

Leadership Without Assimilation: Reimagining Executive Leadership Development To Affirm Black Identity And Leadership Persistence, Nicole Monroe

Dissertations

Executive leadership development programs are often treated as race-neutral pathways to advancement, yet they frequently reflect dominant cultural norms that require leaders from marginalized communities to assimilate in order to succeed. This study examined the question: How can executive leadership development be restructured to affirm Black identity, cultural intelligence, and leadership persistence rather than require assimilation into exclusionary models? This study employs a convergent mixed-methods design, including interviews with 9 Black executive leaders and a document analysis of leadership development programs using the Assimilation Pressure Index. Findings reveal persistent assimilation pressures and identity negotiation within leadership development experiences, and document …

Technology Disruptions In Platform Ecosystems: Ai, Market Adaptation, And Digital Resignation, Eunah Cho

Dissertations, Theses, and Capstone Projects

This dissertation examines how technological disruptions reshape behavior, competition, and user response in platform ecosystems. Bringing together two studies of generative AI in digital labor market and one study of mandatory privacy disclosure in mobile app ecosystems, it argues that platform technologies do not affect participants uniformly. Instead, their effects are mediated by market structures, competitive dynamics, and platform dependence.

The first study shows that ChatGPT shifts workers’ human capital strategies by reducing investment in specialized depth while increasing skill diversity, revealing a move from exploitation toward exploration. Yet market rewards remain uneven, as workers who integrate AI with deep …

Beyond The Margins: The Praxis Of Black Joy As Resistance And The Transformation Of Black Male Identity In Community-Based Educational Counterspaces, Shaylona Sharri Wheeler

Social Justice in Educational Leadership EdD Dissertations

This study explored the self-perceptions of Black male students in secondary education in Oakland, California, with particular attention to racial and ethnic identity development. Through a qualitative research study, five Black male participants including educators, student participants, and alumni of Kingmakers of Oakland (KOO) engaged with identity collages and in-depth semi-structured interviews. Kingmakers of Oakland, a community-based organization dedicated to uplifting Black boys and men who’s culturally affirming practices shaped participants’ understanding of self, community, and their roles as emerging leaders within and beyond Oakland. This study was guided by two central research questions: (1) How does a community-based organization …

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 …

Screening Tools For Maternal Mental Health In Africa: A Systematic Review, Joyce Jebet, Irene Mageto, Benard Mutwiri, Abednego Ongeso, Ruth Wagathu, Rose Maina, Denis Munene, Kawira Kithuci, Peter Gatiti

School of Nursing & Midwifery, East Africa

Background:

Maternal health during pregnancy and the postnatal period encompasses mental health, which is a key aspect in enhancing a positive outcome. Despite screening for other possible complications during pregnancy and the postnatal period, very little attention has been paid to screening for mental health. Screening is a key tool in early diagnosis and, eventually, timely diagnosis and management in cases where complications arise.

Aim:

This study aimed to assess the available maternal mental health screening tools and compare the outcome on their utilization during pregnancy and postnatal periods in the African continent.

Methodology:

This was a …

The Spiritual Communities Of Bronies, Amie Sexton

Theses, Dissertations and Culminating Projects

Bronies, adult, typically male, fans of the cartoon My Little Pony: Friendship is Magic, have long been regarded for seemingly breaking expectations around gender norms. This study finds that Bronies break expectations around what is expected of spiritualism. Through interviews and ethnographic observation of social media spaces Bronies frequent, it is found that spirituality based on the cartoon within the fandom is broad, diverse, and at times, normative. A proportionally-small group of fully sincere spiritualists with plural experiences and strong convictions inspire a much larger community of post-ironic aspirants. Aspirations towards spiritual experiences and the development of profound terminologies create …

An Inferential Analysis Of Lexical Networks, Christopher D. Gravelle

Dissertations, Theses, and Capstone Projects

Lexical networks are graphs where words are treated as nodes, and relations between words are treated as edges. The adoption of lexical networks in psycholinguistics is impeded by a lack of readily available inferential methods, which limits work to purely descriptive analyses with little ability to make inferences about what variables account for lexical network structure. The current research explores the use of latent space network models as a method for analyzing lexical networks. Latent space network models are latent variable regression models, which model the presence or strength of edges by estimating pairwise distances between nodes in a latent …

Twitteratura: Digital Social Reading And Active Reception Of Literary Texts In The Context Of Italian Contemporary Literature, Iuri Moscardi

Dissertations, Theses, and Capstone Projects

This dissertation explores Digital Social Reading (DSR) as a novel mode of literary engagement, focusing on the Italian project Twitteratura, a series of social reading experiments conducted on Twitter (2012–2016) and later on the Betwyll app. The research situates Twitteratura within the intersection of Reader-Response Theory, Digital Humanities, Reception Studies, and Sociology of Literature, demonstrating how digital environments reshape the act of reading and interpretation. Through detailed analyses of four DSR projects centered on major twentieth-century Italian authors—Cesare Pavese, Pier Paolo Pasolini, Italo Calvino, and Natalia Ginzburg—this dissertation argues that Twitteratura provides a concrete, data-rich demonstration of Wolfgang Iser’s reader-response …

Covert Scrambling To The Edge In Tshangla: An Analysis Of Wh- In-Situ, Tshering Y. Dorji

Dissertations, Theses, and Capstone Projects

This thesis investigates the syntactic derivation of wh- in-situ constructions in Tshangla, an understudied Tibeto-Burman language of Bhutan. Argument wh-items can remain in-situ in islands—including sentential subjects, adjunct clauses, relative clauses, and coordinate structures—while projecting their scope to the matrix level. This island-insensitivity for certain wh-items suggests a lack of movement in the narrow syntax, yet diagnostic tests, including crossover effects, reconstruction effects, and parasitic gap licensing, provide compelling evidence for a movement-based account. I propose an analysis involving covert LF scrambling to the left edge of an island clause. This movement is driven by semantic requirements …

Gramsci’S ‘Democratic Philosopher’ And The Concept’S Foundations In Marxian Social Ontology, Eli Recht-Appel

Dissertations, Theses, and Capstone Projects

This thesis deals with the term ‘democratic philosopher’ from Antonio Gramsci’s Prison Notebooks. In order to lay the groundwork for my distinct interpretation of the ‘democratic philosopher,’ I begin by providing an overview of Gramsci’s theory of the role of intellectuals in civil and political society. I then argue that the ‘democratic philosopher’ emerges from Gramsci’s typology of intellectuals but is a category which is both temporally and ontologically distinct from his more well-known concept of ‘organic intellectuals.’ ‘Organic intellectuals,’ intellectuals who co-develop alongside their fundamental social group or class, occupy a variety of cultural and political roles in …

The New Middle Cinema: Aesthetic Restraint, The Urban Middle Class, And The Reconfiguration Of Mainstream Bollywood (2007–2017), Hasnatun Nabi

Dissertations, Theses, and Capstone Projects

Between 2007 and 2017, a distinctive wave of mainstream Hindi films, termed here as the “New Middle Cinema”, employed aesthetic restraint to reconfigure Bollywood’s identity in response to a rapidly changing India. Rejecting the industry’s traditional spectacle, melodrama, and visual opulence, these films embraced naturalistic visuals, grounded performances, character‑driven narratives, and a muted color palette. Drawing on industrial analysis, close textual reading, and audience reception data, this thesis examines seven representative films (Chak De India, Wake Up Sid, My Name is Khan, The Lunchbox, Piku, Kapoor & Sons, and Lipstick Under My Burkha …

Exploring Minor Feelings: Asian And Asian American’S Racialized Emotions, Identity, And Mental Health Amidst Covid-19, Kristina Mirasol Arevalo

Dissertations, Theses, and Capstone Projects

The COVID-19 pandemic highlighted the central role of racialized emotions in shaping how Asians/Asian Americans (A/AA) experience, interpret, and respond to racism, yet these emotional processes remain underexamined in psychological research. Rather than treating emotions as outcomes of discrimination, this dissertation conceptualizes racialized emotions as dynamic processes through which structural racism is experienced, interpreted, and embodied in everyday life. This framework positions racialized emotions as a key mechanism linking racialized social contexts to identity development and mental health. Across three studies using qualitative and quantitative methods, I examine how racialized emotions shape racial meaning-making, ethnic-racial identity, and psychological well-being among …

A Machine Learning Approach To Disentangling Developmental Language Disorder From Typical Development In Russian-Speaking Children, Katsiaryna Aharodnik

Dissertations, Theses, and Capstone Projects

This study investigated a machine learning (ML) approach to identifying Developmental Language Disorder (DLD) in Russian-speaking children using narrative data. ML methods can capture subtle linguistic patterns that distinguish typical and atypical development, which is especially important in cross-linguistic contexts where morphosyntactic variation affects the manifestation of DLD. Diagnosis remains challenging in less-studied languages due to limited knowledge of language-specific deficits and a lack of validated assessment tools. This study evaluated whether ML algorithms can provide a more efficient alternative to traditional screening methods.

Two binary classification studies were conducted using corpus data: 1) classification of narratives told by Russian …

School Just Wasn't For Me: Investigating The Intersections Of Education, Incarceration, And Improvisation, Kelly L. Brady

Dissertations, Theses, and Capstone Projects

New York City is the largest city in the United States and home to the nation's largest school system.  NYC public schools are also the country's most segregated, according to a 2021 report from the UCLA Civil Rights Project.  This qualitative, Arts-Based Research study follows the development and performance of an applied theater piece created by formerly incarcerated and court-involved youth exploring their early educational experiences before encountering the juvenile justice system. Using Disability/Critical Race Theory (DisCrit) and Critical Performance Ethnography this project investigates how structural systems of education and incarceration intersect to construct youth as "others," including special education, …

Indigenous Child Language Research Center Report 3, Saad K’Idilyé, Indigenous Child Language Research Center

Indigenous Child Language Research Center

This report shares some of the preliminary finding of the research work that is being conducted by the Indigenous Child Language Research Center. The ICLRC aims to report to their community partner, Saad K’idilyé, the results of their groundbreaking work. This information is typically delivered in person at a planned meeting. This research is long-term and the data is being prepared for optimal analysis to be shared through published works, workshops, and conference presentations.

Indigenous Child Language Research Report 2, Saad K’Idilyé, Indigenous Child Language Research Center

Indigenous Child Language Research Center

This report shares some of the preliminary finding of the continued research work that is being conducted by the Indigenous Child Language Research Center. The ICLRC aims to report to their community partner, Saad K’idilyé, the results of their groundbreaking work. This information is typically delivered in person at a planned meeting. This research is long-term and the data is being prepared for optimal analysis to be shared through published works, workshops, and conference presentations.

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 …

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 …

Sam3-Litetext: An Anatomical Study Of The Sam3 Text Encoder For Efficient Vision-Language Segmentation, Chengxi Zeng, Yuxuan Jiang, Ge Gao, Shuai Wang, Duolikun Danier, Bin Zhu, Stevan Rudinac, David Bull, Fan Zhang

Research Collection School Of Computing and Information Systems

Vision-language segmentation models such as SAM3 enable flexible, prompt-driven visual grounding, but inherit large, general-purpose text encoders originally designed for open-ended language understanding. In practice, segmentation prompts are short, structured, and semantically constrained, leading to substantial over-provisioning in text encoder capacity and persistent computational and memory overhead. In this paper, we perform a large-scale anatomical analysis of text prompting in vision–language segmentation, covering 404,796 real prompts across multiple benchmarks. Our analysis reveals severe redundancy: most context windows are underutilized, vocabulary usage is highly sparse, and text embeddings lie on a low-dimensional manifold despite high-dimensional representations. Motivated by these findings, we …

Frozen Lvlms For Micro-Video Recommendation: A Systematic Study Of Feature Extraction And Fusion, Huatuan Sun, Yunshan Ma, Changguang Wu, Yanxin Zhang, Pengfei Wang, Xiaoyu Du

Research Collection School Of Computing and Information Systems

Frozen Large Video Language Models (LVLMs) are increasingly employed in micro-video recommendation (MVR) due to their strong multimodal understanding. However, existing apporches typically deploy LVLMs as fixed black-box feature extractors without systematically comparing alternative representation strategies. To address this gap, we present the first systematic empirical study on various feature extraction paradigms and integration strategies, along with hierarchical representations from frozen LVLMs for MVR. Extensive experiments on representative LVLMs reveal that hidden states from multiple decoder layers provide richer and more effective representations for MVR. Guided by this insight, we propose the Dual Feature Fusion (DFF) Framework, a lightweight approach …

Co-Designing With Autistic Livestreamers: Care, Constraints, And Trade-Offs In Livestreaming, Terrance Mok, Anthony Tang, Lora Oehlberg

Research Collection School Of Computing and Information Systems

Autistic livestreamers use platforms like Twitch for social connection, self-expression, and community, but these spaces also impose ongoing social and emotional demands. Prior work has documented these experiences, but less is known about what autistic creators themselves envision for the tools and platforms they use. We address this gap through a Research through Design (RtD) co-design study with three autistic Twitch streamers, using speculative artefacts as discussion prompts to explore how participants reasoned about potential livestreaming technologies. Across three co-design activities, we identify three overarching tensions shaping autistic streaming practice: Expression versus Misinterpretation and Harm; Public Participation versus Control and …

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 …

The Mystical Soundscape And The Functions Of Commentaries On Ibn Al-Fāriḍ’S (D. 632/1235) Naẓm Al-Sulūk, Sherine Mohsen Aboulwafa

Theses and Dissertations

This thesis examines Ibn al-Fāriḍ’s Naẓm al-Sulūk and its earliest commentaries by al-Farghānī (d. 700/1300) and al-Tilimsānī (d. 690/1291) through the analytical framework of the mystical soundscape. Rather than treating the poem and its commentaries as static texts, it argues that meaning in this corpus emerges as an experiential and perceptual event sustained through sound, silence, and reception. The mystical soundscape is conceptualized as comprising two interrelated domains: a silent soundscape, formed through reading, memory, imagination, and conceptual engagement; and an audible soundscape, formed through recitation, pronunciation, rhythm, and communal audition. These domains are linked by the experience of bewilderment …

Letter From The Editors, Raven L. Jones, Tanya Upthegrove Gregory, Alexandra M. Sánchez

Language Arts Journal of Michigan

No abstract provided.