1,720,960 research outputs found
BoundarEase: Fostering Constructive Community Engagement to Inform More Equitable Student Assignment Policies
Cassandra Overney, Cassandra Moe, Alvin Chang, and Nabeel Gillani. 2025. BoundarEase: Fostering Constructive Community Engagement to Inform More Equitable Student Assignment Policies. Proc. ACM Hum.-Comput. Interact. 9, 2, Article CSCW040 (May 2025), 37 pages.Public school districts across the United States (US) play a pivotal role in shaping access to quality education
through their student assignment policies—most prominently, school attendance boundaries. Community
engagement processes for changing such policies, however, are often opaque, cumbersome, and highly
polarizing—hampering equitable access to quality schools in ways that can perpetuate disparities in achievement and future life outcomes. In this paper, we describe a collaboration with a large US public school district
serving nearly 150,000 students to design and evaluate a new sociotechnical system, “BoundarEase”, for
fostering more constructive community engagement around changing school attendance boundaries. Through
a formative study with 16 community members, we first identify several frictions in existing community
engagement processes during boundary planning, like individualistic over collective thinking; a failure to understand and empathize with different community members when considering policy impacts; and challenges
in accessing and understanding the impacts of boundary changes. We then use these frictions to inspire the
design and development of BoundarEase, a web platform that allows community members to explore and
offer feedback on potential boundaries based on their preferences. A user study with 12 community members
reveals that BoundarEase prompts reflection among community members on how policies might impact
families beyond their own, and increases transparency around the details of policy proposals. Our paper offers
education researchers insights into the challenges and opportunities involved in community engagement for
designing student assignment policies; human-computer interaction researchers a case study of how new
sociotechnical systems might help mitigate polarization in local policymaking; and school districts a practical
tool they might use to facilitate community engagement to foster more equitable student assignment policies
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
SenseMate: An AI-Based Platform to Support Qualitative Coding
Unstructured data can be analyzed numerically or qualitatively through methods like sensemaking. One of the key stages of sensemaking is qualitative coding, where the data is divided into units, and each unit is assigned a category or code. Unfortunately, coding is tedious and time-consuming when carried out manually. Finding a balance between manual and fully-automated coding can help increase efficiency while allowing human judgment and preventing systematic machine errors. In this thesis, I propose an accessible semi-automated approach to qualitative coding. First, I apply a novel machine learning method, rationale extraction models, to qualitative coding. These models recommend themes for each unit of analysis in qualitative data and tend to perform better with less ambiguous themes. Through an online experiment, I find that assistance from rationale extraction models increases coding performance and reliability. Next, I execute an iterative, human-centered design process to create SenseMate, an AI-based platform for qualitative coding. After 13 user testing sessions and 3 design iterations, I observe that model overreliance can be minimized through cognitive forcing functions and easy-to-understand model explanations. I also design several ways for users to efficiently provide feedback on machine-generated rationales. To connect my model and design evaluations, I implement a prototype of SenseMate and conduct a summative user evaluation through an online experiment. The evaluation reveals that participants with access to AI assistance have higher coding performances but spend more time on the platform. The effectiveness of various design decisions within SenseMate is also explored. Finally, I discuss a myriad of future work possibilities. Overall, this thesis offers a practical and accessible solution to analyzing unstructured data, which has broad applications for researchers and organizations across various fields.S.M
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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