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Bilingual Program Implementation And Programming In The Midwestern And Southeastern United States: Lessons Learned For Application In Arkansas, Susan Wallace Aug 2025

Bilingual Program Implementation And Programming In The Midwestern And Southeastern United States: Lessons Learned For Application In Arkansas, Susan Wallace

Graduate Theses and Dissertations

As of 2025, the state of Arkansas has no state-approved bilingual or dual-language education programs, despite passing legislation in 2021 to allow for their creation. This literature review synthesizes findings from recent empirical studies conducted in the Midwestern and Southeastern United States—regions with demographic and policy contexts more similar to Arkansas than states with long-time bilingual programs. This literature review explores both beneficial and complicating factors in bilingual program implementation, addressing themes such as policy, leadership, stakeholder involvement, program design, and prevailing ideological mindsets, before summarizing lessons learned from these studies. The implications are clear: effective bilingual programming requires intentional, …

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Synthesis, Structural Characterization And Optical Studies Of Silver-Indium-(Zinc)-Chalcogenide Fluorescent Quantum Dots, Sujal Acharya Aug 2025

Synthesis, Structural Characterization And Optical Studies Of Silver-Indium-(Zinc)-Chalcogenide Fluorescent Quantum Dots, Sujal Acharya

Graduate Theses and Dissertations

Developing a non-toxic, high-performance fluorescent nanomaterial is crucial for overcoming the environmental and health restrictions of current cadmium, and lead based quantum dots (QDs), which limit the application of quantum dots in optoelectronics and bioimaging. In this thesis, we synthesized environmentally friendly AgInS2 QDs by a colloidal method, systematically altering the In/Ag precursor ratio from 2 to 6 to study the impact on their optical and photophysical properties. Our goals were to find the optimal stoichiometry for maximum quantum efficiency and stability. We also investigated further improving optical and photophysical properties through shelling with ZnS. The emission spectra appeared broad, …

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Alevi-Bektashi Ballads: Malady, Melody And Remedy, Mustafa Cingoz Aug 2025

Alevi-Bektashi Ballads: Malady, Melody And Remedy, Mustafa Cingoz

All Graduate Theses and Dissertations, Fall 2023 to Present

This research focuses on how ballads play a central role in the cultural and spiritual life of the Alevi-Bektashi community in Türkiye. These ballads, performed by folk poets known as aşık (minstrel) with the stringed instrument bağlama are the inseparable elements of their daily life and sacred rituals. As rooted in the path of Ali, the fourth Caliph of Islam, and the teachings of 13th-century Sufi saint Haji Bektash Veli, Alevi-Bektashi ballads express shared emotions, struggles, and hopes. Therefore, my point of view argues that these ballads do more than preserve the Anatolian ballad tradition. They create a sense of …

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Wild Water: Hydrosocial Dislocation, Dispossession, And The Symbolic Geographies Of The American West, Leonard Alexander Henderson Aug 2025

Wild Water: Hydrosocial Dislocation, Dispossession, And The Symbolic Geographies Of The American West, Leonard Alexander Henderson

All Graduate Theses and Dissertations, Fall 2023 to Present

This dissertation investigates how the confluence of community change and water politics in the American West shapes a discussion about a Wild and Scenic designation for the Crystal River on Colorado’s Western Slope. Ideas about the “Wild West,” influence how many people think about wilderness and small mountain towns, driving growing populations, housing prices, and, as a result, social inequality in many of these areas. At the same time, many people on Colorado’s Western Slope feel that region’s water is taken away by both the state’s more populous Front Range or more politically and economically powerful states like California. Climate …

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Is R&D Rivalry Slowing The Growth Of Productive Firms?, Yoshiki Ando, James Bessen, Xiupeng Wang Aug 2025

Is R&D Rivalry Slowing The Growth Of Productive Firms?, Yoshiki Ando, James Bessen, Xiupeng Wang

Research Collection School Of Economics

The reallocation of jobs to more productive firms is a substantial component of aggregate productivity growth, yet job reallocation rates have declined substantially in the United States. This paper explores the hypothesis that greater technological rivalry has exacerbated adjustment costs, slowing reallocation. Using microdata at the US Census and estimates of technological rivalry in firm growth regressions, we find that technological rivalry slows firm responses to productivity shocks. Firms do not expand as rapidly in the face of higher obsolescence risk. Estimating counterfactual firm growth from 1997-2018, we find that growing technological rivalry accounts for most of the decline in …

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Issues In Contrasting Conservative And Considered Estimation: A Reply To Bobko Et Al. (2024), Paul R. Sackett, Christopher M. Berry, Filip Lievens, Charlene Zhang Aug 2025

Issues In Contrasting Conservative And Considered Estimation: A Reply To Bobko Et Al. (2024), Paul R. Sackett, Christopher M. Berry, Filip Lievens, Charlene Zhang

Research Collection Lee Kong Chian School Of Business

Bobko et al. (2024) responded to Sackett et al.'s (2022) compilation of meta-analytic evidence for the validity of a wide variety of measures used as predictors of overall job performance, offering a set of alternative methodological choices which they term “considered estimation” to counter the Sackett et al. approach of “conservative estimation.” Here we offer a rebuttal to Bobko et al. A primary concern is that Bobko et al. apply the label “conservative estimation” to the full range of methodological choices made by Sackett et al. Yet, we clarify the narrow and specific meaning of “conservative estimation,” and note that …

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Judicial Independence, The Separation Of Powers, And Criminal Investigations Of Judges, Benjamin Joshua Ong Aug 2025

Judicial Independence, The Separation Of Powers, And Criminal Investigations Of Judges, Benjamin Joshua Ong

Research Collection Yong Pung How School Of Law

In Haris Ibrahim [2023] 2 MLJ 296, the Federal Court of Malaysia discussed the legal limits to executive authorities’ powers to investigate judges on suspicion of crime. The case is a rare contribution to the jurisprudence on judges’ criminal liability at common law, as well as a case study in the challenges of reconciling judicial independence with other principles of the constitutional framework and other actors’ roles therein. The Court held that the implied constitutional principle of judicial independence requires that executive authorities follow a “set of protocols” (which the Court formulated) when investigating sitting judges. This was not wrong …

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L2m2: A Hierarchical Framework Integrating Large Language Model And Multi‑Agent Reinforcement Learning, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan Aug 2025

L2m2: A Hierarchical Framework Integrating Large Language Model And Multi‑Agent Reinforcement Learning, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Lin Li, Xin Zhao, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent reinforcement learning (MARL) has demonstrated remarkable success in collaborative tasks, yet faces significant challenges in scaling to complex scenarios requiring sustained planning and coordination across long horizons. While hierarchical approaches help decompose these tasks, they typically rely on hand-crafted subtasks and domain-specific knowledge, limiting their generalizability. We present L2M2, a novel hierarchical framework that leverages large language models (LLMs) for high-level strategic planning and MARL for low-level execution. L2M2 enables zero-shot planning that supports both end-to-end training and direct integration with pre-trained MARL models. Experiments in the VMAS environment demonstrate that L2M2's LLM-guided MARL achieves superior performance while requiring …

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Collisionrepair: First‑Aid And Automated Patching For Storage Collision Vulnerabilities In Smart Contracts, Yu Pan, Wanjing Han, Yue Duan, Mu Zhang Aug 2025

Collisionrepair: First‑Aid And Automated Patching For Storage Collision Vulnerabilities In Smart Contracts, Yu Pan, Wanjing Han, Yue Duan, Mu Zhang

Research Collection School Of Computing and Information Systems

Storage collision vulnerabilities, a significant security risk in upgradeable smart contracts, often arise when a user-facing proxy contract and a backend logic contract share storage space. While static analysis techniques can detect such issues, they often over-approximate program states, leading to false positives and requiring developers to manually verify each issue, giving attackers time to exploit any overlooked vulnerabilities. To address this, we propose COLLISIONREPAIR, an automated patching technique for mitigating storage collision risks. COLLISIONREPAIR monitors storage access sequences between proxy and logic contracts by defining an "ownership" property for storage locations. It then replays historical transactions to recover existing …

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From Classroom To Workplace: Evaluating Communication Curriculum In Physician Assistant Education, Camryn G. Evett Aug 2025

From Classroom To Workplace: Evaluating Communication Curriculum In Physician Assistant Education, Camryn G. Evett

Honors Thesis

Effective communication is a critical competency for physician assistants (PAs), impacting patient outcomes, interprofessional collaboration, and clinical decision-making. This paper explores the many communication challenges faced by PAs, including navigating supervisory relationships, clarifying scope of practice, building patient trust, and managing clinical interactions. It also examines how the national accrediting and certifying bodies such as the Accreditation Review Commission on Education for the Physician Assistant (ARC-PA), the National Commission on Certification of Physician Assistants (NCCPA), and professional organizations such as the American Academy of Physician Associates (AAPA) shape communication training through formal standards. These frameworks influence curricular design, assessment methods, …

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Improved Rumen Microbiome Interpretation Via Empirical Filtration Derived From Known Mock Microbiomes, Wesley A. Tom Aug 2025

Improved Rumen Microbiome Interpretation Via Empirical Filtration Derived From Known Mock Microbiomes, Wesley A. Tom

School of Biological Sciences: Dissertations, Theses, and Student Research

The rumen microbiome plays a critical role in ruminant health and performance. As a consequence, many studies investigate microbial community composition using 16S rDNA based sequencing. As such, data quality and data filtering are critical to accurately identify microbial community composition. In this study we use mock communities to empirically select data filtering parameters to reduce artifact populations and compared the effect of filtering using different bioinformatic pipelines using rumen bacterial community data. The filtering parameters identified provides consistent estimates of rumen microbial diversity, regardless of bioinformatic pipeline utilized and provides a more accurate view of microbiome structure and composition. …

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L3net: Localized And Layered Reparameterization For Incremental Learning, Xuandi Luo, Huaidong Zhang, Yi Xie, Hongrui Zhang, Xuemiao Xu, Shengfeng He Aug 2025

L3net: Localized And Layered Reparameterization For Incremental Learning, Xuandi Luo, Huaidong Zhang, Yi Xie, Hongrui Zhang, Xuemiao Xu, Shengfeng He

Research Collection School Of Computing and Information Systems

Model-based class incremental learning (CIL) methods aim to address the challenge of catastrophic forgetting by retaining certain parameters and expanding the model architecture. However, retaining too many parameters can lead to an overly complex model, increasing inference overhead. Additionally, compressing these parameters to reduce the model size can result in performance degradation. To tackle these challenges, we propose a novel three-stage CIL framework called Localized and Layered Reparameterization for Incremental Learning (L3Net). The rationale behind our approach is to balance model complexity and performance by selectively expanding and optimizing critical components. Specifically, the framework introduces a Localized Dual-path Expansion structure, …

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Europe–Africa Collaboration: Working Together To Strengthen Health Research, Implementation, And Equitable Systems, Lara Pandya, Irene Norstedt, Martin Seychell, Emer Cooke, Isabel Barranco, Niklas Blomberg, Marleen Temmerman, Michael Makanga Aug 2025

Europe–Africa Collaboration: Working Together To Strengthen Health Research, Implementation, And Equitable Systems, Lara Pandya, Irene Norstedt, Martin Seychell, Emer Cooke, Isabel Barranco, Niklas Blomberg, Marleen Temmerman, Michael Makanga

Centre of Excellence in Women and Child Health

No abstract provided.

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Consistent Client Simulation For Motivational Interviewing-Based Counseling, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Phey Ling Kit, Jenny Xiuhui Giam, John Pinto, Ee-Peng Lim Aug 2025

Consistent Client Simulation For Motivational Interviewing-Based Counseling, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Phey Ling Kit, Jenny Xiuhui Giam, John Pinto, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both human or simulated) in a scalable manner. Nevertheless, past research on client simulation did not focus on complex conversation tasks such as mental health counseling. In these tasks, the challenge is to ensure that the client’s actions (i.e., interactions with the counselor) are consistent with with its stipulated profiles and negative behavior settings. In this paper, we propose a novel framework that supports consistent client simulation for mental health counseling. Our framework tracks the mental state of a simulated client, controls its state transitions, and …

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Assessing The Robustness Of Test Selection Methods For Deep Neural Networks, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Lei Ma, Yves Le Traon Aug 2025

Assessing The Robustness Of Test Selection Methods For Deep Neural Networks, Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Lei Ma, Yves Le Traon

Research Collection School Of Computing and Information Systems

Regularly testing deep learning-powered systems on newly collected data is critical to ensure their reliability, robustness, and efficacy in real-world applications. This process is demanding due to the significant time and human effort required for labeling new data. While test selection methods alleviate manual labor by labeling and evaluating only a subset of data while meeting testing criteria, we observe that such methods with reported promising results are simply evaluated, e.g., testing on original test data. The question arises: are they always reliable? In this article, we explore when and to what extent test selection methods fail. First, we identify …

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Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances Mcq Generation And Distractor Quality, Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen Aug 2025

Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances Mcq Generation And Distractor Quality, Yimiao Qiu, Yang Deng, Quanming Yao, Zhimeng Zhang, Zhiang Dong, Chang Yao, Jingyuan Chen

Research Collection School Of Computing and Information Systems

Generating high-quality Multiple Choice Questions (MCQs) remains challenging for educational tools due to the need for contextual relevance and plausible distractors. Existing methods still struggle with these dual requirements, leading to questions that lack depth and distractors that are either too obvious or irrelevant. In this paper, we propose BiFlow, a novel framework that integrates bidirectional reasoning perspectives: teacher reasoning generates contextually relevant questions and plausible distractors, while student reasoning evaluates question clarity and the misleading nature of the distractors. To further enhance reasoning, we introduce PathFinder, a mechanism that employs breadth-first search and Chainof-Thought (CoT) strategies to explore diverse …

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Non-Homophilic Graph Pre-Training And Prompt Learning, Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang Aug 2025

Non-Homophilic Graph Pre-Training And Prompt Learning, Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang

Research Collection School Of Computing and Information Systems

Graphs are ubiquitous for modeling complex relationships between objects across various fields. Graph neural networks (GNNs) have become a mainstream technique for graph-based applications, but their performance heavily relies on abundant labeled data. To reduce labeling requirement, pre-training and prompt learning has become a popular alternative. However, most existing prompt methods do not distinguish between homophilic and heterophilic characteristics in graphs. In particular, many real-world graphs are non-homophilic-neither strictly nor uniformly homophilic-as they exhibit varying homophilic and heterophilic patterns across graphs and nodes. In this paper, we propose ProNoG, a novel pre-training and prompt learning framework for such non-homophilic graphs. …

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Optimizing Group Utility In Itinerary Planning: A Strategic And Crowd-Aware Approach, Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim Aug 2025

Optimizing Group Utility In Itinerary Planning: A Strategic And Crowd-Aware Approach, Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

Research Collection School Of Computing and Information Systems

Itinerary recommendation is a complex sequence prediction problem with numerous practical applications. The task becomes significantly more challenging when optimizing multiple factors simultaneously, such as user queuing times, crowd levels, attraction popularity, walking durations, and operating hours. These factors, combined with the dynamic and unpredictable nature of visitor flow, introduce substantial complexities, particularly when accounting for collective user behavior. Existing solutions often adopt a single-user perspective, overlooking critical challenges arising from natural crowd dynamics. For example, the Selfish Routing problem illustrates how individual decision-making can lead to suboptimal outcomes for the group as a whole. To address these challenges, we …

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Use Of A Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework For Low-Resource Settings: Development And Validation Study, Shao Wei Sean Lam, Min Hun Lee, Michael Dorosan, Samuel Altonji, Hiang Khoon Tan, Walter T. Lee Aug 2025

Use Of A Preliminary Artificial Intelligence-Based Laryngeal Cancer Screening Framework For Low-Resource Settings: Development And Validation Study, Shao Wei Sean Lam, Min Hun Lee, Michael Dorosan, Samuel Altonji, Hiang Khoon Tan, Walter T. Lee

Research Collection School Of Computing and Information Systems

Background: Early-stage diagnosis of laryngeal cancer significantly improves patient survival and quality of life. However, the scarcity of specialists in low-resource settings hinders the timely review of flexible nasopharyngoscopy (FNS) videos, which are essential for accurate triage of at-risk patients.Objective: We introduce a preliminary AI-based screening framework to address this challenge for the triaging of at-risk patients in low-resource settings. This formative research addresses multiple challenges common in high-dimensional FNS videos: (1) selecting clear, informative images; (2) deriving regions within frames that show an anatomical landmark of interest; and (3) classifying patients into referral grades based on the FNS video …

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The 6th International Workshop On Talent And Management Computing (Tmc 2025), Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim Aug 2025

The 6th International Workshop On Talent And Management Computing (Tmc 2025), Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

In today's competitive and fast-evolving business environment, it is a critical time for organizations to rethink how to deal with talent and management-related tasks in a quantitative manner. Indeed, thanks to the era of big data, the availability of large-scale talent data provides unparalleled opportunities for leaders to deliver intelligence for effective management for organizations. In the past few years, talent and management computing have increasingly attracted attention from KDD communities, and a number of research/applied data science efforts have been devoted. To this end, the purpose of this workshop, i.e., the 6th International Workshop on Talent and Management Computing …

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Inference-Time Gaze Refinement For Micro-Expression Recognition: Enhancing Event-Based Eye Tracking With Motion-Aware Post-Processing, Panahetipola Mudiyanselage Nuwan Bandara, Thivya Kandappu, Archan Misra Aug 2025

Inference-Time Gaze Refinement For Micro-Expression Recognition: Enhancing Event-Based Eye Tracking With Motion-Aware Post-Processing, Panahetipola Mudiyanselage Nuwan Bandara, Thivya Kandappu, Archan Misra

Research Collection School Of Computing and Information Systems

Event-based eye tracking holds significant promise for fine-grained cognitive state inference, offering high temporal resolution and robustness to motion artifacts, critical features for decoding subtle mental states such as attention, confusion, or fatigue. In this work, we introduce a model-agnostic, inference-time refinement framework designed to enhance the output of existing event-based gaze estimation models without modifying their architecture or requiring retraining. Our method comprises two key post-processing modules: (i) Motion-Aware Median Filtering, which suppresses blink-induced spikes while preserving natural gaze dynamics, and (ii) Optical Flow-Based Local Refinement, which aligns gaze predictions with cumulative event motion to reduce spatial jitter and …

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Prism: To Fortify Widget Based User‑App Data Exchanges Using Android Virtualization Framework, Yingtat Ng, Zhe Chen, Haiqing Qiu, Xuhua Ding Aug 2025

Prism: To Fortify Widget Based User‑App Data Exchanges Using Android Virtualization Framework, Yingtat Ng, Zhe Chen, Haiqing Qiu, Xuhua Ding

Research Collection School Of Computing and Information Systems

We present Prism, an UI hardening technique for an Android app to safeguard its widgets against a corrupted kernel. Prism ensures secure interface rendering and allows for visual authentication, which developers could use to enable user intent confidentiality protection. Our design leverages the recent Android Virtualization Framework with minimal changes to the existing UI framework and graphics subsystem. It is much easier to deploy and use Prism on Android phones than TrustZone-based secure UI schemes, because the apps are not admitted to the Secure World and retain their full rights to manage and control their own interfaces. We have implemented …

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Oblivious Digital Tokens, Mihael Liskij, Xuhua Ding, Gene Tsudik, David A. Basin Aug 2025

Oblivious Digital Tokens, Mihael Liskij, Xuhua Ding, Gene Tsudik, David A. Basin

Research Collection School Of Computing and Information Systems

A computing device typically identifies itself by exhibiting unique measurable behavior or by proving its knowledge of a secret. In both cases, the identifying device must reveal information to a verifier. Considerable research has focused on protecting identifying entities (provers) and reducing the amount of leaked data. However, little has been done to conceal the fact that the verification occurred.We show how this problem naturally arises in the context of digital emblems, which were recently proposed by the International Committee of the Red Cross to protect digital resources during cyber-conflicts. To address this new and important open problem, we define …

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Bridging Generations: Intergenerational Transfers And Time Use In A Changing World, Christine Ho Aug 2025

Bridging Generations: Intergenerational Transfers And Time Use In A Changing World, Christine Ho

Research Collection School Of Economics

This Special Issue brings together nine papers that examine how families allocate time and money across generations. Spanning aging societies in East Asia to informal settlements in the Pacific, the contributions employ diverse methodological approaches, from natural experiments and policy variation to administrative data linkage and cross-generational panel surveys. The findings converge on a central insight: intergenerational transfers of time and money are not merely cultural practices, but systematic responses to changing economic environments and institutional frameworks. Family decisions are critical to the provision of long-term care, investment in children’s human capital, and the transmission of preferences, opportunities, and well-being …

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Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang Aug 2025

Trust In Healthcare Ai Can’T Just Be Designed – It Must Be Felt By Clinicians And Patients, Adriana Banozic-Tang, Heng Wang

Research Collection Yong Pung How School Of Law

Trust in healthcare AI currently over-relies on system design, not lived medical realities.Continuous feedback loops are necessary to embed trust in healthcare AI that is responsive to clinician and patient needs.Initiatives in South-East Asia show how trust in technology can be extended from policy to practice.

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Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon Aug 2025

Ai In The Judiciary: The Singapore Case, Nydia Remolina Leon

Research Collection Yong Pung How School Of Law

This paper examines the integration of Artificial Intelligence (AI) within the judicial system of Singapore. Singapore's judiciary has embraced AI not as a tool for adjudication, but as an augmentative instrument for legal research, procedural efficiency, and access to justice. It provides a detailed account of AI use cases in the courts, including case summarization, evidence review, assistance for selfrepresented litigants, and tools like the Divorce Assets Informative Division Estimator. The discussion then turns to the legal profession, exploring how law firms in Singapore are adopting AI technologies. The paper also addresses how AI implementation in the judicial system is …

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Car-Bp: Taking Hypertension Screening Beyond Clinics, Jesus Melgarejo, Gladys Maestre, Eron Manusov Aug 2025

Car-Bp: Taking Hypertension Screening Beyond Clinics, Jesus Melgarejo, Gladys Maestre, Eron Manusov

School of Medicine Publications

No abstract provided.

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Jury Decision Rules In Criminal Trials, Emma Archibald Aug 2025

Jury Decision Rules In Criminal Trials, Emma Archibald

Dalhousie Journal of Legal Studies

Discussions of juries in democratic systems often frame the jury as a symbol of democracy, an essential safeguard for an accused, and a legitimizer of state authority. However, the context in which the jury operates has evolved, and there is a widening gap between our empirical understanding of juries and our commitment to their theoretical value. Piecemeal reforms of the jury have also moved the system away from the historical model, with the consequence of undermining the remaining aspects. This paper argues one such aspect is the decision rule under which a jury renders its verdict. Canada is one of …

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Triggering Change In Child Protection Law: A Case Study Of Firearms And Domestic Violence In Nova Scotia, Manitoba, And Ontario, Ashley Thornton Aug 2025

Triggering Change In Child Protection Law: A Case Study Of Firearms And Domestic Violence In Nova Scotia, Manitoba, And Ontario, Ashley Thornton

Dalhousie Journal of Legal Studies

The intertwining complexities of child protection, domestic violence, and firearms pose profound challenges for families and the legal system. This paper examines their interplay, focusing on how these issues can subject children to harm, with a specific focus on case law and relevant legislation from Nova Scotia, Manitoba, and Ontario. These three provinces have been selected due to: i) the locality and inherent relevance of Nova Scotia’s jurisdiction given the location of the Schulich School of Law, ii) the high number of reported court decisions in Ontario, and the unique protections created through amending the Child, Youth, and Family Services …

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Introduction Pages, Lorenzo M. Sianez Jr, Claudia Martinez Aug 2025

Introduction Pages, Lorenzo M. Sianez Jr, Claudia Martinez

Journal of College Access

No abstract provided.

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