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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 …

Wageless By Design: Dependency In U.S. Visa Regimes, Cristina Ochoa Echeverri

Dissertations, Theses, and Capstone Projects

This capstone examines how U.S. dependent visa regimes create a population of migrants who are legally present but structurally excluded from paid work and independent legal status. Focusing on visa categories such as H-4, F-2, M-2, O-3, P-4, R-2, and TD, it argues that wagelessness is not incidental but structurally embedded in the legal design of temporary migration governance through employment restrictions, derivative legal status, and the tethering of dependents to a principal visa holder.

Using a qualitative, interpretive approach, this study draws on documentary and secondary sources as well as digital narratives from platforms such as Reddit. This capstone …

Policing Sex Trafficking: 'They’Re Never Taught, You Know', Anila S. Duro

Dissertations, Theses, and Capstone Projects

Research shows that victims of sex trafficking are most likely to first come in contact with the police (Baldwin et al, 2011; Twigg, 2017) and at times police have not been able to categorize cases of prostitution as trafficking even when trafficking elements were very clear (Dank et al, 2017; Dempsey, 2017; Farrell & Cronin, 2015). Despite the legal definition of trafficking, the terms prostitution, sex work, and sex trafficking are sometimes used interchangeably by law enforcement, whereas at other times, these words refer to different sets of circumstances and have different criminalization outcomes.  Research in this area is limited …

1d Crust-Magnetosphere Coupling Model For Magnetars, Kennedy M. Jeter

Dissertations, Theses, and Capstone Projects

Magnetars are the most extremely magnetized objects in the universe. Their strong magnetic fields generate high-energy magnetic flares with instantaneous luminosity that can outshine their host galaxy. Previous works have explored how Hall drift in the crust affects the dynamics of magnetic field lines in the magnetosphere. This work investigates how a change in the magnetosphere, such as a flare or an outburst, can excite Hall evolution in the crust. We investigate how the twisting and untwisting of magnetic field lines in a magnetar’s magnetosphere launches Hall waves through its crust using a one-dimensional numerical model. We use the Dedalus …

The Other Sodomites: A History Of Racial Queerness, Paris Shih

Dissertations, Theses, and Capstone Projects

The Other Sodomites traces the "racial logic of sodomy" from the medieval to modern periods. Reading across a wide range of literary and cultural texts, including medieval tales, theological treatises, travel narratives, stage plays, topographical poems, and prose fiction, the current study explores the structural relationship between discourses of sodomy and pivotal moments of racialization in western history, from the Judaization of sodomy in the Middle Ages, through its Islamization and Catholicization during the global Renaissance, to the continentalization and orientalization of sodomy in the nineteenth century. Despite the shifting zones of sodomitic significance, there existed a persistent racial logic. …

Theatrical Agency In The Constitution Of Logical Space, Esther Marveta Neff

Dissertations, Theses, and Capstone Projects

This dissertation takes advantage of our current moment of collapse and shifting episteme to move from resistance and critique into modes of position, prefiguration, and praxiocentricism, giving not only a critique of the colonial-modern logical space of Theatrum Mundi, but also aiming to configure the thetic consciousness that grounds “theatrical agency” in the logic of cognitive and social epistemological modelling.  In what ways do we “build our own worlds”? What does “theatricality” tell us about human agency, especially in the domain of “theoretical attitudes,” and “consciousness”? In what ways, and to what extent, are we responsible for constituting …

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 …

The Desire Of Strict Souls: The Poetry, Criticism, And Letters Of Paul Valéry And Wallace Stevens, Michael Healy

Dissertations, Theses, and Capstone Projects

This dissertation compares the poetic, critical, and epistolary oeuvres of Paul Valéry and Wallace Stevens and the influence of the former on the latter. Valéry famously advocated for the pursuit of “poésie pure” (“pure poetry”) and influenced Stevens especially in this way, though both of them concluded it was not achievable. I establish an approximation of a critical framework based on the work of the following critics and scholars: Wendy Lesser, Wendy Steiner, Anthony Cuda, Michael Clune, Paul Bové, and Liesl Olson. Harold Bloom’s passionate advocacy and deep, sustained engagement with Stevens and his work strongly influenced my choice to …

Family Planning Exemplar Country Selection Methodology: Time Lag And Trends Analysis, Zahid Memon, Abeer Mian, Ira Martopullo, Narjis Hussain, Zeba Sathar, Ali Mohammad Mir, Michael Mbizvo, Marleen Temmerman, Jen Drake, Zulfiqar Bhutta

Centre of Excellence in Women and Child Health

Introduction While many countries achieved notable gains in contraceptive use levels after the 1994 International Conference on Population and Development which redefined family planning (FP) as a human right, there was a long period of 15 years when contraceptive use levels did not receive due attention. It was only later that its subsequent inclusion in the Sustainable Development Goals and the 2012 London Summit on FP renewed global commitment and a focus towards FP. This paper aims to select countries that identify as ‘exemplar’ low-middle-income countries that have achieved exceptional progress in FP. Examining these outliers can uncover actionable drivers …

Understanding Formal Financial Access In Indonesia: Evidence From Micro Data, M. Aulia Rachman, Yozi Aulia Rahman, Maulida Dewi Pangestika, Risanda Alirastra Budiantoro

Economics and Finance in Indonesia

This study examines the determinants of access to formal financial institutions using secondary household survey data from Indonesian Family Life Survey, Wave 5 (IFLS-5). Logistic regression analysis reveals that loan amount, savings, education level, age, housing status, and internet usage are positively and significantly associated with greater access. Individuals with higher savings, higher education, and homeownership exhibit a higher probability of utilizing formal financial services. Although the significance of internet usage varies across models, it remains a strong predictor when properly controlled, particularly due to its role in enhancing digital literacy. In contrast, income and health insurance ownership do not …

Bureaucracy, Bottlenecks, And Bots: Ai And Migrant Experiences At Germany’S Foreigners’ Authorities, Johanna Brusa

Dissertations, Theses, and Capstone Projects

How can AI provide a meaningful tool in migration management for the German government? Seeking highly-skilled migrants and overburdened by mass migration, the German government is turning to AI to generate solutions to bureaucratic overload in the Ausländerbehörden (ABH, the Foreigners’ Authorities), the Federal Republic's administrative system for managing the processing of migration. AI promises to ease the bureaucratic burden on civil servants, but can it improve migrants' experiences in their interactions with the ABH? And, critically for the German state, could it help convince highly-skilled workers to make Germany their home? Analyzing 530 Google reviews of six different ABH …

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, …

Materializing The Interface: Personal Data Feeds Generative Art, Erin Livingston

Dissertations, Theses, and Capstone Projects

Materializing the Interface: Personal Data Feeds Generative Art is a data-studio capstone project that reconstructs elements of desktop and mobile interfaces as handmade mixed-media artifacts, then digitizes them as an interactive website where generative text and images are fed by personal data flows. Twenty-one paper collage windows — built from cardstock, risograph-printed paper, and mixed media — were photographed, digitized, and activated using code to become the interactive surface of a desktop view driven by browser history. A corresponding mobile view renders a corpus of 500 Instagram advertisement screenshots through a risograph print aesthetic, fed by a hand-tagged emotion and …

Beyond The Generations: Building A High-Quality Workplace For An Age-Diverse Workforce, Cal J. Halvorsen, Bruna C. Lopez, Erika Sabbath

Brown School Faculty Publications

At a time when the U.S. is more age diverse than ever before, Americans are extending their careers for financial stability, social connection, and purpose. This article provides a brief background on the history of aging and work, from the late 1800s to present, illustrating the influence that public and organizational policies, as well as personal needs and interests, have on labor force participation. It then provides examples for how employers can create better workplaces for people of all ages, concluding with the case for why more age-inclusive workplaces lead to better results for employees, their families, and their employers.

Patchfuzz: Patch Fuzzing For Javascript Engines, Junjie Wang, Zhihua Xie, Xiaofei Xie, Xiaoning Du, Xiangwei Zhang

Research Collection School Of Computing and Information Systems

Context: Patch fuzzing is a technique aimed at identifying vulnerabilities that arise from newly patched code. While researchers have made efforts to apply patch fuzzing to testing JavaScript (JS) engines with considerable success, these efforts have been limited to using ordinary test cases or publicly available vulnerability PoCs (Proof of Concepts) as seeds, and the sustainability of these approaches is hindered by the challenges associated with automating the PoC collection. Objective: To address these limitations, we propose an end-to-end sustainable approach for JS engine patch fuzzing, named PatchFuzz. Method: It automates the collection of PoCs of a broader range of …

To Wait Or To Transfer? A Three-Level Optimization Framework For Intermodal Transfer Coordination In First Train Timetabling And Bus Bridging Services Management, Hao Li, Liujiang Kang, Norman Weik, Huijun Sun, Qingying Lai, Zhiguang Cao

Research Collection School Of Computing and Information Systems

This study addresses the integrated optimization of the first train timetabling and bus bridging service design (FTT-BBSD) for morning transfer challenges, two critical but interdependent passenger services in the public transit system. In contrast to most existing studies and conventional approaches, this study explicitly models the influence of passenger path choices and transfer mode selections on FTT-BBSD. Through a novel dual-level network representation that integrates subway and bus systems, we formulate the FTT-BBSD problem as a mixed-integer nonlinear programming model. The model simultaneously determines subway and bus timetables and bridging line deployment to minimize total travel time for all first …

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 …

Group Conversational Agents: A Review Of Designs That Support And Shape Group Interaction, Shunyi Yeo, Tianyi Zhang, Scott Bateman, Gary Hsieh, Young-Ho Kim, Simon Tangi Perrault, Jiannan Li, Anthony Tang

Research Collection School Of Computing and Information Systems

Conversational agents that participate in or mediate group interaction introduce challenges that extend beyond supporting individual users, raising new questions about how agents participate in and influence groups. To characterise this emerging design space, we present a systematic review of 53 peer-reviewed studies on group conversational agents (GCAs). We analyse how GCAs intervene in group-level processes, including participation regulation, conflict mediation, task alignment, and execution support. Using concepts from group research as an analytic lens, we organise prior GCA work around recurring group interactional challenges (orientation, conflict, alignment, and execution), and examine the roles agents are designed to play in …

Language Embeddings Meet Shallow Autoencoders, Rodrigo Alves, Vojtěch Vančura, Pavel Kordík, Antoine Ledent

Research Collection School Of Computing and Information Systems

Shallow autoencoders are appealing recommenders due to their simplicity, scalability, and competitive retrieval quality, but they struggle in strict cold-start settings where new items have no interactions. We propose an inductive shallow autoencoder that leverages item side information (language embeddings) by fixing the decoder to item features and learning only an encoder in the same semantic space. To prevent trivial self-reconstruction without enforcing a hard zero diagonal, we introduce diagonal gating: a leave-one-item-out objective that blocks the self-copy shortcut only for the item being updated while retaining context from the rest of the user history. An alternating-style optimization trains the …

Ppg-Sport: A Dataset For Reliable Heart Rate Monitoring From Wrist Ppg Under Dynamic Sports Conditions, Changshuo Hu, Hung Manh Pham, Yiming Zhang, Guanru Yan, Xiao Ma, Yuezhong Wu, Thivya Kandappu, Archan Misra, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) has become a cornerstone of physiological sensing in wearable devices, enabling non-invasive monitoring of heart rate and related biomarkers. However, its reliability deteriorates sharply under dynamic, high-intensity, or non-periodic motions such as those in sports, where existing datasets fail to capture realistic wrist dynamics. To address this gap, we introduce PPG-Sport, the first large-scale dataset designed for heart rate monitoring from wrist-worn PPG under real sports conditions. The PPG-Sport dataset includes synchronized PPG, inertial measurement unit (IMU), and electrocardiography (ECG) recordings from both wrists of 30 participants across six representative activities: stationary, walking, running, badminton, table tennis, and …

A Survey Of Earable Technology: Trends, Tools, And The Road Ahead, Changshuo Hu, Qiang Yang, Yang Liu, Tobias Röddiger, Kayla-Jade Butkow, Mathias Ciliberto, Adam Luke Pullin, Jake Stuchbury-Wass, Mahbub Hassan, Cecilia Mascolo, Dong Ma

Research Collection School Of Computing and Information Systems

Earable devices, wearables positioned in or around the ear, are undergoing a rapid transformation from audio-centric accessories into multifunctional systems for interaction, contextual awareness, and health monitoring. This evolution is driven by commercial trends emphasizing sensor integration and by a surge of academic interest exploring novel sensing capabilities. Building on the foundation established by earlier surveys, this work presents a timely and comprehensive review of earable research published since 2022. We attempt to answer three core questions: (1) how has earable research evolved in recent years, (2) what enabling resources are now available, and (3) what opportunities remain for future …

Anatomical Domain Shifts: Test-Time Heterogeneous Adaptation For 3d Human Pose Prediction, Qiongjie Cui, Pan Zhou, Jingjing Chen, Na Zhao

Research Collection School Of Computing and Information Systems

The research frontier in human pose prediction (HPP) is advancing toward continual test-time adaptation (TTA), where models must self-adapt to dynamic test distributions. To date, the homeostatic continual TTA remains the sole viable solution, which isolates the model parameters and update domain-sensitive ones. Despite mitigating full-body domain gaps, human anatomical heterogeneity (domain shifts often localize to specific regions) is ignored. This anatomical-agnostic approach forces uniform parameter adaptation across kinematically distinct segments, causing: over-adaptation of stable regions and under-adaptation of shift-prone articulations. To address it, we introduce TT-HA, a novel Test-Time Heterogeneous Adaptation that implicitly estimates domain changes for anatomical segments, …

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 …

Adaptive Outlier Detection Over Data Stream, Rui Zhu, Mingyuan Jiang, Xiaochun Yang, Baihua Zheng, Bin Wang, Tao Qiu

Research Collection School Of Computing and Information Systems

Continuous distance-based outlier detection in streaming data poses significant challenges and has a wide range of practical applications. Traditional threshold-based methods perform well under stable streaming conditions, where fixed parameters remain effective. However, they often struggle with dynamic data distributions and high stream speeds, leading to suboptimal performance, limited control over the number of returned outliers, and failure to meet real-time detection requirements. To address these issues, this paper introduces a novel Recall and Proportion-Aware Outlier Detection (RPA-OD) query. In RPA-OD, ρ defines a distance relaxation that enables real-time outlier detection. Specifically, objects with fewer than k neighbors within the …