The Language of Bias: A Linguistic Approach to Understanding Intergroup Relations

[Excerpt] This chapter explores the role of language in the relationship between diversity and team performance. Specifically, we consider how a linguistic approach to social categorization may be used to study the social psychological mechanisms that underlie diversity effects. Using the results of a study examining the effects of gender, ethnicity and tenure on language abstraction, we consider the potential implications for team processes and effectiveness. In addition, we propose a revised team input-process-output model that highlights the potential effects of language on team processes. We conclude by suggesting directions for future research linking diversity, linguistic categorization and team effectiveness

Simulation as Pedagogy: An Experiential Teaching Strategy for Social Work Education

This banded dissertation is an examination of simulation as a pedagogy for social work education. While the Council of Social Work Education recognizes simulation as an accepted pedagogy, there remains little research on its use in social work education. To effectively utilize and structure simulation within the curriculum, more needs to be understood about its influences on social work student development and its fit within the social work educational context. The first product of this dissertation, a conceptual paper, presents a framework for the use of simulation in social work education. The framework consists of three elements: holistic competency as the aim of social work education, a model of curriculum as engagement for the vehicle through which programmatic culture is established, and experiential learning theory as a foundational learning theory. The author demonstrates alignment between the pedagogy of simulation with the aims, culture, and theory which inform social work education. The second product is a research study, examining the influence of participation in repeated simulations on social work student development in clinical skills. Addressing a gap in the literature, this study utilized a nine-month qualitative design to explore student experiences with three simulations over the course of two semesters. Based on the findings, the author proposes a conceptual model for student growth in metacognition and self-regulation, utilizing multiple simulation experiences. The third product is an interactive eposter presentation given at the Council on Social Work Education 2018 Annual Program Meeting. This eposter summarizes research findings from the second banded dissertation product and incorporates practice experience in simulations for interprofessional education. Conclusions address the need for alignment between simulation learning objectives and simulation frequency. Simulation is a strong pedagogy for social work education, allowing for holistic engagement in learning. A better understanding of its influence on social work students allows educators to leverage the benefits of the pedagogy to align with identified learning objectives. Further research can build on the proposed conceptual model in Product Two as well as explore the use of simulation in an online environment

Coastal River Basins Water Resource Assessment An Evaluation of Water Use and Availability in Seven Coastal River Basins

Georgia has experienced a persistent drought for the last four years. While the drought conditions have subsided, the need for effective river basin planning continues. Effective water planning for our river basins will ensure adequate resource availability for the immediate future as well as over the long run.Basin planning consists of four primary steps: 1) understanding current and future water demands, 2) understanding existing resources (water supply), 3) anticipating potential shortfalls and other issues that might arise from the discrepancies between supply and demand, and 4) devising policy solutions which adequately resolve items identified in step 3).This report explores the available data for water demands and supplies across the seven river basins that make up the coastal region served by the Coastal Rivers Water Planning and Policy Center at Georgia Southern University. The permit issuing and water use reporting processes have made it difficult to accurately estimate water demand across the region. Moreover, the river data is sparse, sporadic, and insufficient to determine the unimpaired flows for any of our rivers. Our intent is to highlight the areas for future data collection such that our state policy makers may successfully establish river basin water use plans that ensure sustainable economic growth, with minimal environmental impacts. Working Paper # 2003-00

Measurements at low energies of the polarization-transfer coefficient Kyy' for the reaction 3H(p,n)3He at 0 degrees

Measurements of the transverse polarization coefficient Kyy' for the reaction 3H(p,n)3He are reported for outgoing neutron energies of 1.94, 5.21, and 5.81 MeV. This reaction is important both as a source of polarized neutrons for nuclear physics experiments, and as a test of theoretical descriptions of the nuclear four-body system. Comparison is made to previous measurements, confirming the 3H(p,n)3He reaction can be used as a polarized neutron source with the polarization known to an accuracy of approximately 5%. Comparison to R-matrix theory suggests that the sign of the 3F3 phase-shift parameter is incorrect. Changing the sign of this parameter dramatically improves the agreement between theory and experiment.Comment: 12 pages, RevTeX, 5 eps figures, submitted to Phys. Rev.

Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks

© The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Hopkinson, B. M., King, A. C., Owen, D. P., Johnson-Roberson, M., Long, M. H., & Bhandarkar, S. M. Automated classification of three-dimensional reconstructions of coral reefs using convolutional neural networks. PLoS One, 15(3), (2020): e0230671, doi: 10.1371/journal.pone.0230671.Coral reefs are biologically diverse and structurally complex ecosystems, which have been severally affected by human actions. Consequently, there is a need for rapid ecological assessment of coral reefs, but current approaches require time consuming manual analysis, either during a dive survey or on images collected during a survey. Reef structural complexity is essential for ecological function but is challenging to measure and often relegated to simple metrics such as rugosity. Recent advances in computer vision and machine learning offer the potential to alleviate some of these limitations. We developed an approach to automatically classify 3D reconstructions of reef sections and assessed the accuracy of this approach. 3D reconstructions of reef sections were generated using commercial Structure-from-Motion software with images extracted from video surveys. To generate a 3D classified map, locations on the 3D reconstruction were mapped back into the original images to extract multiple views of the location. Several approaches were tested to merge information from multiple views of a point into a single classification, all of which used convolutional neural networks to classify or extract features from the images, but differ in the strategy employed for merging information. Approaches to merging information entailed voting, probability averaging, and a learned neural-network layer. All approaches performed similarly achieving overall classification accuracies of ~96% and >90% accuracy on most classes. With this high classification accuracy, these approaches are suitable for many ecological applications.This study was funded by grants from the Alfred P. Sloan Foundation (BMH, BR2014-049; https://sloan.org), and the National Science Foundation (MHL, OCE-1657727; https://www.nsf.gov). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript

Justice as a Dynamic Construct: Effects of Individual Trajectories on Distal Work Outcomes

Despite an amassing organizational justice literature, few studies have directly addressed the temporal patterning of justice judgments and the effects that changes in these perceptions have on important work outcomes. Drawing from Gestalt characteristics theory (Ariely & Cannon, 2000, 2003), we examine the concept of justice trajectories (i.e., levels and trends of individual fairness perceptions over time) and offer empirical evidence to highlight the value of considering fairness within a dynamic context. Participants included 523 working adults who completed surveys about their work experiences on 4 occasions over the course of 1 year. Results indicate that justice trends explained additional variance in distal work outcomes (job satisfaction, organizational commitment, and turnover intentions) after controlling for end-state levels of justice, demonstrating the cumulative effects of justice over time. Findings also reveal that change in procedural justice perceptions affected distal work outcomes more strongly than any other justice dimension. Implications for theory and future investigations of justice as a dynamic construct are discussed

Variations on a Theme: Graph Homomorphisms

This thesis investigates three areas of the theory of graph homomorphisms: cores of graphs, the homomorphism order, and quantum homomorphisms. A core of a graph X is a vertex minimal subgraph to which X admits a homomorphism. Hahn and Tardif have shown that, for vertex transitive graphs, the size of the core must divide the size of the graph. This motivates the following question: when can the vertex set of a vertex transitive graph be partitioned into sets which each induce a copy of its core? We show that normal Cayley graphs and vertex transitive graphs with cores half their size always admit such partitions. We also show that the vertex sets of vertex transitive graphs with cores less than half their size do not, in general, have such partitions. Next we examine the restriction of the homomorphism order of graphs to line graphs. Our main focus is in comparing this restriction to the whole order. The primary tool we use in our investigation is that, as a consequence of Vizing's theorem, this partial order can be partitioned into intervals which can then be studied independently. We denote the line graph of X by L(X). We show that for all n ≥ 2, for any line graph Y strictly greater than the complete graph Kₙ, there exists a line graph X sitting strictly between Kₙ and Y. In contrast, we prove that there does not exist any connected line graph which sits strictly between L(Kₙ) and Kₙ, for n odd. We refer to this property as being ``n-maximal", and we show that any such line graph must be a core and the line graph of a regular graph of degree n. Finally, we introduce quantum homomorphisms as a generalization of, and framework for, quantum colorings. Using quantum homomorphisms, we are able to define several other quantum parameters in addition to the previously defined quantum chromatic number. We also define two other parameters, projective rank and projective packing number, which satisfy a reciprocal relationship similar to that of fractional chromatic number and independence number, and are closely related to quantum homomorphisms. Using the projective packing number, we show that there exists a quantum homomorphism from X to Y if and only if the quantum independence number of a certain product graph achieves |V(X)|. This parallels a well known classical result, and allows us to construct examples of graphs whose independence and quantum independence numbers differ. Most importantly, we show that if there exists a quantum homomorphism from a graph X to a graph Y, then ϑ̄(X) ≤ ϑ̄(Y), where ϑ̄ denotes the Lovász theta function of the complement. We prove similar monotonicity results for projective rank and the projective packing number of the complement, as well as for two variants of ϑ̄. These immediately imply that all of these parameters lie between the quantum clique and quantum chromatic numbers, in particular yielding a quantum analog of the well known ``sandwich theorem". We also briefly investigate the quantum homomorphism order of graphs

Linking learner corpus and experimental data in studying second language learners" knowledge of verb-argument constructions.

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/139834/1/icame-2014-Roemer-et-al-Offprint.pd