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2023

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Scattered Spectra From Inverse Compton Sources Operating At High Laser Fields And High Electron Energies, Geoffrey A. Krafft, Balša Terzić, Erik Johnson, G. Wilson Jan 2023

Scattered Spectra From Inverse Compton Sources Operating At High Laser Fields And High Electron Energies, Geoffrey A. Krafft, Balša Terzić, Erik Johnson, G. Wilson

Physics Faculty Publications

As Compton x-ray and gamma-ray sources become more prevalent, to understand their performance in a precise way, it becomes important to be able to compute the distribution of scattered photons precisely. For example, codes have been developed at Old Dominion University which were used to understand the performance of the Dresden Compton Source in detail. An ideal model would (i) include the full Compton effect frequency relations between incident and scattered photons, (ii) allow the field strength to be large enough that nonlinear effects are captured, and (iii) allow the effects of electron beam emittance to be introduced and studied. …


Observation Of Large Missing-Momentum (E, E' P) Cross-Section Scaling And The Onset Of Correlated-Pair Dominance In Nuclei, I. Korover, A. W. Denniston, A. Kiral, A. Schmidt, A. Lovato, N. Rocco, A. Nikolakopoulos, L. B. Weinstein, E. Piasetzky, O. Hen, M. J. Amaryan, Giovanni Angelini, H. Atac, N. A. Baltzell, L. Barion, M. Battaglieri, I. Bedlinskiy, Fatiha Benmokhtar, A. Bianconi, Z. W. Zhao, Et Al., Clas Collaboration Jan 2023

Observation Of Large Missing-Momentum (E, E' P) Cross-Section Scaling And The Onset Of Correlated-Pair Dominance In Nuclei, I. Korover, A. W. Denniston, A. Kiral, A. Schmidt, A. Lovato, N. Rocco, A. Nikolakopoulos, L. B. Weinstein, E. Piasetzky, O. Hen, M. J. Amaryan, Giovanni Angelini, H. Atac, N. A. Baltzell, L. Barion, M. Battaglieri, I. Bedlinskiy, Fatiha Benmokhtar, A. Bianconi, Z. W. Zhao, Et Al., Clas Collaboration

Physics Faculty Publications

We report the measurement of 𝒙B scaling in (e,e′p) cross-section ratios off nuclei relative to deuterium at large missing momentum of 350 ≤ Pmiss ≤ 600 MeV/c. The observed scaling extends over a kinematic range of 0.7 ≤ 𝒙B ≤ 1.8, which is significantly wider than 1.4 ≤ 𝒙B ≤ 1.8 previously observed for inclusive (e,e′) cross-section ratios. The 𝒙B-integrated cross-section ratios become constant (i.e., scale) beginning at pmiss ≈ kF, the nuclear Fermi momentum. Comparing with theoretical calculations we find good agreement with generalized contact formalism calculations for high missing …


Fabrication And Testing Of A Prototype Rf-Dipole Crabbing Cavity, S. U. De Silva, J. R. Delayen, H. Park Jan 2023

Fabrication And Testing Of A Prototype Rf-Dipole Crabbing Cavity, S. U. De Silva, J. R. Delayen, H. Park

Physics Faculty Publications

Crabbing cavities are essential in particle colliders to compensate the luminosity degradation due to beam collision at a crossing angle. The 952.6 MHz 2-cell rf-dipole crabbing cavity system was proposed for the Jefferson Lab Electron-Ion Collider to restore the head-on collisions of electron and proton bunches at the interaction point. A prototype cavity was designed and developed to demonstrate the performance of multi-cell rf-dipole structures. This paper presents the fabrication process and cold test results of the first 2-cell rf-dipole prototype cavity.


Construct Validity Of The Capq And Pai In A Sample Of College Students, Tiffany Grezmak, Jennifer B. Levin, Amir M. Poreh Jan 2023

Construct Validity Of The Capq And Pai In A Sample Of College Students, Tiffany Grezmak, Jennifer B. Levin, Amir M. Poreh

Archives of Assessment Psychology

This study assessed the normative equivalence and construct validity of the Cleveland Adaptive Personality Questionnaire (CAP-Q, Poreh and Levin 2019), a relatively brief multi-scale personality inventory developed to assess personality traits and psychopathological states. The CAP-Q was administered concurrently with the Personality Assessment Inventory (PAI; Morey, 1991) to a sample of 109 college students. The standard scores for matching scales, computed using non-aged-corrected norms, were equivalent, with the CAP-Q age-corrected norms producing better fitting data. Additional analyses showed adequate convergent validity with highly correlated matching scales. Additionally, the multi-scale profiles were comparable across both non-elevated and elevated profiles. Overall, this …


Towards The Development Of Smoothed Particle Hydrodynamics Model For Oscillating Water Column Devices, Guixun Zhu Jan 2023

Towards The Development Of Smoothed Particle Hydrodynamics Model For Oscillating Water Column Devices, Guixun Zhu

School of Engineering, Computing and Mathematics Theses

The Oscillating water column (OWC) device is a type of wave energy converter (WEC) that has received wide investigation. Integrating OWC with breakwaters can reduce construction and maintenance costs. However, there is a risk of damage to these OWC devices under extreme sea conditions. This thesis focuses on the study of OWC devices based on the Smoothed Particle Hydrodynamics (SPH) model. The SPH method, a fully Lagrangian approach that simulates fluid problems using a set of moving particles carrying physical properties, is particularly well-suited to simulating flows with large deformation. The SPH model can therefore handle the strong non-linear situations …


Mobilenetv1-Based Deep Learning Model For Accurate Brain Tumor Classification, Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, Omega John Unogwu, Indu Bala Jan 2023

Mobilenetv1-Based Deep Learning Model For Accurate Brain Tumor Classification, Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, Omega John Unogwu, Indu Bala

Mesopotamian Journal of Computer Science

Brain tumors are among the most dangerous diseases that lead to mortality after a period of time from injury. Therefore, physicians and healthcare professionals are advised to make an early diagnosis of brain tumors and follow their instructions. Magnetic resonance imaging (MRI) is operated to provide sufficient and practical data in detecting brain tumors. Applications based on artificial intelligence contribute a very large role in disease detection, provide incredible accuracy and assist in creating the right decisions. In particular, deep learning models, which are a significant part of artificial intelligence, have the ability to diagnose and process medical image datasets. …


An Examination Of The Influence Of Ethnic Identity, Spirituality, And Social Support As Predictors Of Resilience Among Black Male College Graduates Born In The United States, Sandy Belizaire Jan 2023

An Examination Of The Influence Of Ethnic Identity, Spirituality, And Social Support As Predictors Of Resilience Among Black Male College Graduates Born In The United States, Sandy Belizaire

Dissertations

Problem

This study aimed to assess the influence of ethnic identity, spirituality, and social support on resilience among Black males (BM) who were born in the United States of America and are recent college graduates. The achievement gap between BM and their counterparts is among education's most infuriating problems. Educators are more likely to dissuade Black men from going to college, and those who enroll drop out before they graduate (Noguera 2003; Wilborn 2013).

Method

This study employed a non-experimental, quantitative correlation research design using self-report questionnaires. The target population for this study was American-born Black males who were graduates …


Dynamic Function Learning Through Control Of Ensemble Systems, Wei Zhang, Vignesh Narayanan, Jr-Shin Li Jan 2023

Dynamic Function Learning Through Control Of Ensemble Systems, Wei Zhang, Vignesh Narayanan, Jr-Shin Li

Publications

Learning tasks involving function approximation are preva- lent in numerous domains of science and engineering. The underlying idea is to design a learning algorithm that gener- ates a sequence of functions converging to the desired target function with arbitrary accuracy by using the available data samples. In this paper, we present a novel interpretation of iterative function learning through the lens of ensemble dy- namical systems, with an emphasis on establishing the equiv- alence between convergence of function learning algorithms and asymptotic behavior of ensemble systems. In particular, given a set of observation data in a function learning task, we …


Cooperative Deep Q -Learning Framework For Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan Jan 2023

Cooperative Deep Q -Learning Framework For Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan

Publications

In this article, we address two key challenges in deep reinforcement learning (DRL) setting, sample inefficiency, and slow learning, with a dual-neural network (NN)-driven learning approach. In the proposed approach, we use two deep NNs with independent initialization to robustly approximate the action-value function in the presence of image inputs. In particular, we develop a temporal difference (TD) error-driven learning (EDL) approach, where we introduce a set of linear transformations of the TD error to directly update the parameters of each layer in the deep NN. We demonstrate theoretically that the cost minimized by the EDL regime is an approximation …


Moment-Based Reinforcement Learning For Ensemble Control, Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li Jan 2023

Moment-Based Reinforcement Learning For Ensemble Control, Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li

Publications

Problems involving controlling the collective behavior of a population of structurally similar dynamical systems, the so-called ensemble control, arise in diverse emerging applications and pose a grand challenge in systems science and control engineering. Owing to the severely under-actuated nature and the difficulty of placing large-scale sensor networks, ensemble systems are limited to being actuated and monitored at the population level. Moreover, mathematical models describing the dynamics of ensemble systems are often elusive. Therefore, it is essential to design broadcast controls that excite the entire population in such a way that the heterogeneity in system dynamics are robustly compensated. In …


Morris Catalog 2023-2025, University Of Minnesota-Morris Jan 2023

Morris Catalog 2023-2025, University Of Minnesota-Morris

UMM Catalog

This document serves as an official historical record for a specific period in time. The information found is subject to change without notice. Colleges and departments make changes to their degree requirements and course descriptions frequently. More information is available at catalogs.umn.edu.


Quantum Computations Of The O(3) Model Using Qumodes, R. Jha, Felix Ringer, G. Siopsis, Shane Thompson Jan 2023

Quantum Computations Of The O(3) Model Using Qumodes, R. Jha, Felix Ringer, G. Siopsis, Shane Thompson

Physics Faculty Publications

We express the discrete 1+1-dimensional O(3) non-linear sigma model (NLσM) in a form well-suited for the continuous variable approach to quantum computing. Within the Schwinger boson formulation, we need two qumodes (quantum-mechanical oscillators) at each lattice site. We envision that it might be possible to reach the scaling regime of this model and observe asymptotic freedom on near-term photonic quantum devices in the coming decade.


The Relationships Between Flow, Mathematics Self-Efficacy, And Mathematics Anxiety Among International Undergraduate Students In The United States, Samah Abduljabbar Jan 2023

The Relationships Between Flow, Mathematics Self-Efficacy, And Mathematics Anxiety Among International Undergraduate Students In The United States, Samah Abduljabbar

Dissertations

Problem

A worldwide problem, math anxiety is defined as an anxious state with an unpleasant feeling of tension characterized by fear of failing to achieve mathematics targets. Psychologically, math anxiety involves anxiety, tension, discomfort, nervousness, fear, shock, and insecurity. Math anxiety has been perceived as a key influencer of reduced math achievement, and avoidance of math-related careers. On the other hand, abilities, flow, interests, and psychological conditions contribute to student mathematics success. Belief in one's ability to perform a specific task boosts self-efficacy, which has been studied widely as a predictor of student academic performance. When students are interested in, …


Analysis Of Competencies Of The Engineering Research And Development For Technology Alumni Of The University Of The Philippines Los Banos, Paulyn G. Micor, Maria Ana T. Quimbo, John Erinorio M. Perez, Ruth Ortega-Dela Cruz Jan 2023

Analysis Of Competencies Of The Engineering Research And Development For Technology Alumni Of The University Of The Philippines Los Banos, Paulyn G. Micor, Maria Ana T. Quimbo, John Erinorio M. Perez, Ruth Ortega-Dela Cruz

Journal of Public Affairs and Development

In the context of local and global workforce and people skills competitiveness, this study sought to determine whether the Engineering Research and Development for Technology - University of the Philippines Los Banos (ERDT-UPLB) alumni are competent in their chosen employment fields. Using the Likert scale of measurement, the skills, knowledge, and attitude competencies of engineering graduates were compared to the preferred competencies of employers and potential employers. Results showed no significant difference between the existing competencies of the ERDT alumni and the preferred competencies of prospective employers. Moreover, employers and potential employers have indicated a positive and favorable response to …


Moving Towards Sustainable Mining Communities: The Case Of The Community-Led Non-Cyanide Non-Mercury Cold Extraction Method (Clinn-Cem) In Compostela Valley, Philippines, Rowee Joy S. Decena Jan 2023

Moving Towards Sustainable Mining Communities: The Case Of The Community-Led Non-Cyanide Non-Mercury Cold Extraction Method (Clinn-Cem) In Compostela Valley, Philippines, Rowee Joy S. Decena

Journal of Public Affairs and Development

The small-scale mining industry and communities are left behind in terms of development. They are confronted with economic, environmental, and social problems. Thus, to address these problems and move towards sustainable development, this social development research explores how CLINN-GEM, as a technological innovation, contributes to achieving sustainable mining communities. The researcher employs a single case study approach and adopts qualitative methods in data gathering and analysis. Data gathering methods include document reviews, guided tour, key informant interviews with seven informants, focus group discussions with the operations group and the members of the project staff, and a structured learning exercise with …


Spiritual Well-Being Scale (Swbs): Measuring Spiritual Well-Being In International Contexts, Rodger K. Bufford, Raymond F. Paloutzian Jan 2023

Spiritual Well-Being Scale (Swbs): Measuring Spiritual Well-Being In International Contexts, Rodger K. Bufford, Raymond F. Paloutzian

Faculty Publications - Psychology Department

The Spiritual Well-Being Scale (SWBS) is a 20-item measure of self-perceived spiritual health. Developed in the 1980s, it includes 2 subscales with 10 items each. Responses are made on a 6-point continuum from Strongly Disagree to Strongly Agree with no neutral point; 9 of the items are negatively worded to minimize response biases. The US samples show good internal consistency and test-retest reliability. Content validity was established in construction. Expected correlations with religion and spirituality indices, social and psychological mea-sures, and physical functioning and demonstration of expected group differences support criterion validity. Factor analysis commonly shows 2 factors corresponding to …


Price Gouging In A Pandemic, Christopher Buccafusco, Daniel Hemel, Eric L. Talley Jan 2023

Price Gouging In A Pandemic, Christopher Buccafusco, Daniel Hemel, Eric L. Talley

Faculty Scholarship

The COVID-19 pandemic led to acute supply shortages across the country as well as concerns over price increases amid surging demand. In the process, it reawakened a debate about whether and how to regulate “price gouging” — a controversy that continues as inflation has accelerated even as the pandemic abates. Animating this debate is a longstanding conflict between laissez-faire economics, which champions price fluctuations as a means to allocate scarce goods, and perceived norms of consumer fairness, which are thought to cut strongly against sharp price hikes amid shortages.

This Article provides a new, empirically grounded perspective on the price …


Predictors Of Statistics Anxiety Among Graduate Students In Saudi Arabia, Rabab Abdulghani Jan 2023

Predictors Of Statistics Anxiety Among Graduate Students In Saudi Arabia, Rabab Abdulghani

Dissertations

Problem

The problem addressed in this study is the anxiety experienced by graduate students toward statistics courses, which often causes students to delay taking statistics courses until the end of their program. Students believe that statistics courses are not essential and are the greatest obstacles to obtaining their degree. Previous theoretical models have focused on predicting student performance in statistics. However, this study aims to identify specific factors that could decrease student statistics anxiety and enhance positive attitudes and self-efficacy toward statistics. The study developed a conceptual model to predict statistics anxiety among graduate students in educational and social science …


Being And Becoming Across Difference: A Grounded Theory Study Of Exemplary White Teachers In Racially Diverse Classrooms, Jane S. Feinberg Jan 2023

Being And Becoming Across Difference: A Grounded Theory Study Of Exemplary White Teachers In Racially Diverse Classrooms, Jane S. Feinberg

Antioch University Dissertations & Theses

Of the roughly 3.5 million public school teachers in the United States, approximately 80% are White. In contrast, about 51.7% of the nation’s students are African American, Hispanic, Asian, and American Indian. This mismatch is expected to grow as the number of BIPOC students in our nation’s public schools continues to increase. Studies have shown that strong positive relationships are essential for learning, but often, the relationships between White teachers and BIPOC students are strained at best, leading to poorer learning outcomes. The purpose of this Constructivist Grounded Theory study was to explore an understudied question: How do White teachers …


Eating Change: A Critical Autoethnography Of Community Gardening And Social Identity, Jessica Gerrior Jan 2023

Eating Change: A Critical Autoethnography Of Community Gardening And Social Identity, Jessica Gerrior

Antioch University Dissertations & Theses

Community gardening efforts often carry a social purpose, such as building climate resilience, alleviating hunger, or promoting food justice. Meanwhile, the identities and motivations of community gardeners reflect both personal stories and broader social narratives. The involvement of universities in community gardening projects introduces an additional dimension of power and privilege that is underexplored in scholarly literature. This research uses critical autoethnography to explore the relationship of community gardening and social identity. Guided by Chang (2008) and Anderson and Glass-Coffin (2013), a systematic, reflexive process of meaning-making was used to compose three autoethnographic accounts. Each autoethnography draws on the author’s …


Forest Bathing Increases Adolescent Mental Well-Being And Connection To Nature: A Transformative Mixed Methods Study, Jennifer Keller Jan 2023

Forest Bathing Increases Adolescent Mental Well-Being And Connection To Nature: A Transformative Mixed Methods Study, Jennifer Keller

Antioch University Dissertations & Theses

Previous research has demonstrated that practicing forest bathing has significant positive effects on well-being. However, few studies have investigated whether forest bathing increases adolescent well-being despite the growing adolescent mental health crisis in the United States. Similarly, few studies have explored forest bathing’s impacts on connectedness to nature. Considering the ongoing environmental crisis, determining if forest bathing increases connectedness to nature is a critical expansion of forest bathing research, as connectedness to nature is linked to environmental care and concern. This study investigated the possibility that forest bathing, a nature-based mindfulness practice, could increase adolescent mental well-being and connectedness to …


Regulating History, Sara C. Bronin, Leslie R. Irwin Jan 2023

Regulating History, Sara C. Bronin, Leslie R. Irwin

GW Law Faculty Publications & Other Works

America’s local historic commissions collectively wield tremendous influence over millions of privately-owned parcels of land. By reviewing rehab proposals, blocking demolitions, and mandating property maintenance, these commissions have helped to protect many of America’s most beloved neighborhoods. They fill a vacuum left by federal and state governments, which have declined to offer robust legal protections to private historic sites. Litigation challenging local historic decisions and press vilifying commissions for their alleged elitism, anti-environmental decisions, and general obstruction of progress have put preservation in the contemporary crosshairs. While we align with those who believe that clear-thinking commissions can successfully mediate between …


Prenatal Ethanol Exposure Impairs Performance On Spatial And Tactile Sequential Discrimination Task In Juvenile Rats, Caleb S. Bailey Jan 2023

Prenatal Ethanol Exposure Impairs Performance On Spatial And Tactile Sequential Discrimination Task In Juvenile Rats, Caleb S. Bailey

Theses and Dissertations--Psychology

Fetal alcohol spectrum disorders (FASDs) are a set of cognitive and behavioral abnormalities that arise in ~5% of children who have been prenatally-exposed to alcohol. Prenatal alcohol exposure (PAE) can cause impairments in learning acquisition, working memory, response inhibition, and attentional-set shifting that result in exaggerated deficits in executive function and impairments in goal-seeking behavior. There are standard procedures used in rodent research to address some components of these deficits, but few procedures are sensitive enough to comprehensively assess such deficits. To address this issue in FASDs research techniques, we developed a procedure that requires prolonged executive function in a …


The Effects Of Extended Fructose Access On Relative Value And Demand For Fructose, Saccharin, And Ventral Tegmental Stimulation, Megan Halloran Jan 2023

The Effects Of Extended Fructose Access On Relative Value And Demand For Fructose, Saccharin, And Ventral Tegmental Stimulation, Megan Halloran

Theses and Dissertations--Psychology

Globally, food addiction (FA) is a growing area of research and is largely attributed to the availability of foods that are both energy dense and high in fats and sugars. Further, it has been suggested, that sugar and fat, when consumed frequently, have properties similar to drugs of abuse. While the validity of FA is questioned, researchers have drawn parallels between substance use disorder (SUD) and FA. For example, sugar binge models emphasize craving, withdrawal and binging as primary components of FA, which are also hallmarks of SUD. Additionally, both natural rewards, like sugars, and drug rewards act on the …


Promoting Cognitive Complexity Among Yezidi Youth Impacted By Isis In Kurdistan, Iraq, Sara Savage, Jessica Francar, Kristin Perry Jan 2023

Promoting Cognitive Complexity Among Yezidi Youth Impacted By Isis In Kurdistan, Iraq, Sara Savage, Jessica Francar, Kristin Perry

Journal of Strategic Security

This article reports on the results of an intervention to promote the reintegration of Yezidi children and youth in the Kurdistan Region of Iraq, who had been in ISIS captivity or were displaced by ISIS, by increasing their cognitive complexity through experiential learning. The article explores the challenges faced by this demographic, including trauma and exclusion. It looks at the impact of a group-based curriculum designed to increase cognitive complexity (measured by integrative complexity), and discusses how the intervention addressed socio-cognitive needs in order to support reintegration. The intervention was piloted with young people associated with ISIS and those displaced …


Vehicle-Based Disconnected Data Distribution, Aditya Singhania Jan 2023

Vehicle-Based Disconnected Data Distribution, Aditya Singhania

Master's Projects

The world today is highly connected and there is an immense dependency on this connectivity to accomplish basic everyday tasks. However much of the world lacks connectivity. Even in well-connected locations, natural disasters can cause infrastructure disruption. To combat these situations, Delay Tolerant Networks

(DTNs) employ to store and forward techniques along with intermittently connected transports to provide data connectivity. DTNs focus on intermittently connected networks however what if the regions are never connected? For example, Region A - is never connected to the internet, and Region B – has internet connectivity. Using a vehicle that travels between the two …


A Novel Efficient Deep Learning Framework For Facial Inpainting - Face Reconstruction From Masked Images, Akshay Ravi Jan 2023

A Novel Efficient Deep Learning Framework For Facial Inpainting - Face Reconstruction From Masked Images, Akshay Ravi

Master's Projects

The use of face masks due to the covid-19 pandemic has made surveillance of people very difficult. Since a mask covers most of the facial components, security cameras are rendered of little to no use in the identification of criminals. In order to realize what a face looks like behind a mask, we have to construct the facial features in the masked region. On a higher level, this falls under the field of image inpainting, i.e. filling missing regions of images or correcting irregularities in images. Current research on image inpainting shows promising results on images that have missing/incorrect patches …


Eye Movements Behaviors In A Driving Simulator During Simple And Complex Distractions, Pradeep Narayana Jan 2023

Eye Movements Behaviors In A Driving Simulator During Simple And Complex Distractions, Pradeep Narayana

Master's Projects

Road accidents occur frequently due to driving distractions all around the world. A driving simulator has been created to explore the cognitive effects of distractions while driving in order to address this problem. The purpose of this study is to discover the distraction-causing elements and how they affect driving performance. The simulator offers a secure and regulated setting for carrying out tests while being distracted by different visual distractions, such as solving mathematical equations and number memorizations.

Several trials have been conducted in the studies, which were carried out under varied circumstances like varying driving sceneries and by displaying different …


Twitter Bot Detection Using Nlp And Graph Classification, Warada Jayant Kulkarni Jan 2023

Twitter Bot Detection Using Nlp And Graph Classification, Warada Jayant Kulkarni

Master's Projects

Social media platforms are one of the primary resources for information as it is easily accessible, low in cost, and provides a high rate of information spread. Online social media (OSM) have become the main source of news information around the world, but because of the distributed nature of the web, it has increased the risk of fake news spread. Fake news is misleading information that is published as real news. Therefore, identifying fake news and flagging them as such, as well as detecting sources that generate them is an ongoing task for researchers and OSM companies. Bots are artificial …


Play On; Give Me Excess Of It: Intercorporeality And Musical Definitions, Abram Basil Soucy Capone Jan 2023

Play On; Give Me Excess Of It: Intercorporeality And Musical Definitions, Abram Basil Soucy Capone

Dissertations

Philosophy of music, especially in the 20th and 21st centuries, presides over a relatively narrow range of field-specific ontological and metaphysical questions. I claim that a focus on classical music and a reliance on analogies to the plastic arts constitutes an unhelpful (but pervasive) methodology in philosophy of music, one that stands in tension with its purported aim of accurately accounting for “the ways we talk, think, and act” in relation to music and musical works (Rohrbaugh 2003, 179). While philosophers of music explicitly aim to describe praxis, a significant gap exists between existing theory and ordinary musical experiences. To …