排序方式： 共有86条查询结果，搜索用时 15 毫秒
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Noah McClain 《The Information Society》2013,29(5):251-271
AbstractThis article investigates how an account of hidden, internal properties of an everyday technology became a framework to interpret human action as a serious crime. Using a case study situated in the New York subway system, I examine the criminalization of a practice of New York’s poor known as “selling swipes” performed by so-called “swipers”. A high court came to classify the practice as felony forgery, interpreting it though an expert-witness account of how objects physically manipulated by swipers interact with a secretive, proprietary digital information system. Thousands of felony arrests – overwhelmingly of nonwhite men – have been legitimated under this theory, in which the crime occurs on a plane of technical interactions to which swipers have no access. Through close examination of the underlying technology (known as MetroCard), however, I show considerable problems in the authorities’ understanding of the technology, illustrating the hazards of interpreting human action through proprietary or complex systems, especially as they are represented solely through expert accounts. The case demonstrates fresh connections between technology and unequal outcomes in the U.S. criminal justice system, and suggests an emerging form of social vulnerability, to interpretations of our actions through the logic of technologies black-boxed to us. 相似文献
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College-level statistics courses emphasize the use of the coefficient of determination, R-squared, in evaluating a linear regression model: higher R-squared is better. This often gives students an impression that higher R-squared implies better predictability since textbooks tend to use sample data to support the theory and students rarely have an opportunity to work on real data. In this paper, health care stocks are used as predictors and the result demonstrates that high R-squared does not necessarily mean high predictability and that multiple linear regression can be used in the study of data behavior. In particular, by learning the pattern of the near and far out-of-sample-prediction errors for different time periods throughout a dataset, the near out-of-sample prediction errors can be used to control the prediction errors and identify a subset of predictors that can well reflect the trend of S&P 500. 相似文献
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The Contribution of HBCUS to the Preparation of African American Women for Stem Careers: A Case Study 总被引：3，自引：0，他引：3
Laura Perna Valerie Lundy-Wagner Noah D. Drezner Marybeth Gasman Susan Yoon Enakshi Bose Shannon Gary 《Research in higher education》2009,50(1):1-23
This study uses case study analysis to explore the ways that Spelman College, a historically Black women’s college, promotes
the attainment of African American women in STEM fields. Although limited to one institution, the findings shed light on the
ways that institutional characteristics, policies, and practices may mitigate the barriers that limit attainment of African
American women in STEM fields. Drawing on the findings, the paper concludes with recommendations for improving policy and
practice as well as recommendations for additional fruitful research. 相似文献
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Bassam Al-Salemi Masri Ayob Graham Kendall Shahrul Azman Mohd Noah 《Information processing & management》2019,56(1):212-227
Multi-label text categorization refers to the problem of assigning each document to a subset of categories by means of multi-label learning algorithms. Unlike English and most other languages, the unavailability of Arabic benchmark datasets prevents evaluating multi-label learning algorithms for Arabic text categorization. As a result, only a few recent studies have dealt with multi-label Arabic text categorization on non-benchmark and inaccessible datasets. Therefore, this work aims to promote multi-label Arabic text categorization through (a) introducing “RTAnews”, a new benchmark dataset of multi-label Arabic news articles for text categorization and other supervised learning tasks. The benchmark is publicly available in several formats compatible with the existing multi-label learning tools, such as MEKA and Mulan. (b) Conducting an extensive comparison of most of the well-known multi-label learning algorithms for Arabic text categorization in order to have baseline results and show the effectiveness of these algorithms for Arabic text categorization on RTAnews. The evaluation involves four multi-label transformation-based algorithms: Binary Relevance, Classifier Chains, Calibrated Ranking by Pairwise Comparison and Label Powerset, with three base learners (Support Vector Machine, k-Nearest-Neighbors and Random Forest); and four adaptation-based algorithms (Multi-label kNN, Instance-Based Learning by Logistic Regression Multi-label, Binary Relevance kNN and RFBoost). The reported baseline results show that both RFBoost and Label Powerset with Support Vector Machine as base learner outperformed other compared algorithms. Results also demonstrated that adaptation-based algorithms are faster than transformation-based algorithms. 相似文献
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Noah Asher Golden 《Teaching Education》2018,29(1):1-16
The signifier ‘alternative’ in education has largely shifted from progressive or humanizing pedagogies to deficit framings requiring alternate graduation criteria. This development is part of broader neoliberal educational reform efforts that disrupt longstanding conceptions of teachers’ roles. This study serves to investigate long-term teachers’ understandings of their shifting roles in one secondary-level alternative education program in New York City. Specifically, this narrative analysis study explores participating teachers’ meanings around agency and their ability to form the relationships that they argue are central to meaningful pedagogies. Findings demonstrate a sense of loss regarding teacher agency and relationships, and a belief that neoliberal reform efforts have limited possibilities for a shared sense of purpose and collaboration. 相似文献
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Noah Asher Golden 《Equity & Excellence in Education》2017,50(4):355-367
Culturally-responsive pedagogies require moving beyond blanket assumptions about learners to focus deeply on local meaning-makings. This narrative analysis case study examines the ways a 20-year-old African American man challenges the negative educational identity with which he is forced to contend as he navigates a large and complex urban public school system. The ways in which Jamahl, a seeker of a High School Equivalency, refuses interpellation as an uneducated learner destined to be “nothin'” provides insight as to how formal education might be more responsive to learners' negotiation of deficiency discourses. Embracing agency, specifically through awareness of the ways Jamahl employs (re)positioning practices, this narrative analysis case study highlights paths for researchers and practitioners to tap into learners' resources to recognize and foster powerful learning identities. 相似文献
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A. Harry Passow Gilbert de Landsheere A. D. C. Peterson Harold J. Noah Henry Saltzman W. D. Halls Gordon Bishop Richard F. Goodings Helmut von Bracken Franz Hilker Daniel J. Casey Donald E. Super Klaus Schleicher Neville Postlethwaite B. F. Nel Peter Martin Roeder Wolfgang Brezinka Hans Friedrich Eric Ashby Franklin Parker Ernst Prokop Clare Burstall Kenneth Austwick 《International Review of Education/Internationale Zeitschrift für Erziehungswissenschaft/Revue internationale l'éducation》1968,14(3):328-375
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As policymakers, community college trustees have a responsibility to help keep their communities strong. How they do this is by helping to give everyone a chance for higher education. Thomas Friedman says that John F. Kennedy's vision was to put a man on the moon. His vision is to put every American on a campus. To do this, trustees can use these 7 “New Rules of Business:” (a) having a renewed focus on higher education accountability, (b) continued anxiety over college affordability, (c) waning public support, (d) growing expectations, (e) increasing competition, (f) changing demographics, and (g) the growing leadership crisis. 相似文献
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