976 research outputs found
Peter Logan: Victorian Fetishism [Audio interview]
No full textPeter Logan is the author of Nerves and Narratives: A Cultural History of Hysteria in Nineteenth-Century British Prose (1997) and, more recently, Victorian Fetishism: Intellectuals and Primitives (2009). On May 15, 2012, Fred Rowland interviewed Peter Logan to discuss Victorian Fetishism, which details the development of ideas about the primitive and how these concepts set the boundaries of culture in Victorian Britain. Drawing from Lucretius, Vico, and Auguste Comte, Peter Logan explains how fetishism – the defining feature of culture’s absence – figured in the works of literary and cultural critic Matthew Arnold, realist novelist George Eliot, and anthropologist Edward Tylor.Temple University. College of Liberal ArtsTemple University. LibrariesEnglishLearning and Research ServicesAudacityAudacit
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Dispelling the Myths Behind First-author Citation Counts
No full textWe 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
Audio Interview with Mr. Joe Logan
No full textAudio - Mr. Joe Logan gives his personal history touching on his family, working life, and interactions with a variety of early Athabasca area residents. Mr. Logan talks about freighting and the Hudson's Bay Store, as well as lumbering and cattle. He discusses Treaty Indians (First Nations), treaty money and how Chief Bigstone received his name. The Anglican Church and the Catholic Mission in Wabasca, along with mission schooling are also discussed (80 minutes)very clear, no interviewer interjections, good memor
An Algorithmic Framework for Fairness Elicitation
No full textWe consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders. We introduce a framework in which pairs of individuals can be identified as requiring (approximately) equal treatment under a learned model, or requiring ordered treatment such as "applicant Alice should be at least as likely to receive a loan as applicant Bob". We provide a provably convergent and oracle efficient algorithm for learning the most accurate model subject to the elicited fairness constraints, and prove generalization bounds for both accuracy and fairness. This algorithm can also combine the elicited constraints with traditional statistical fairness notions, thus "correcting" or modifying the latter by the former. We report preliminary findings of a behavioral study of our framework using human-subject fairness constraints elicited on the COMPAS criminal recidivism dataset
Forty Starr Chili
No full textPrint Edition: 300 copies.Print Pages: [10] p.Print Illustrations: ill. (photopolymer plate)Printing: LetterpressBinding: Double-section saddle-stitch; Self-wrappedPaper: Somerset text paper; Handmade cover paperTypography: Digitally LTC Caslon ProPhysical Dimensions: 12.2 x 8.5 cmPrint Original Price: 25 U.S. dollarsColophon: This book was printed on Somerset paper from photopolymer plates using a Vandercook No. 4 letterpress. The type was composed in LTC Caslon Pro using Adobe InDesign. The frontispiece illustration is based on a wood engraving fone by the author. Of three hundred copies handsewn into covers of handmade paper infused with the aroma of chili, this is copy number
Forestry for Idaho: BMP Best Management Practices
No full textBulletin no. 745 Moscow, Idaho :University of Idaho, College of Agriculture, Cooperative Extension System, 1996-01-01. Author(s): Logan, Bob; Clinch, Bu
Responsible machine learning in child welfare and digital mental health
No full textUniversity of Minnesota Ph.D. dissertation. May 2025. Major: Computer Science. Advisors: Haiyi Zhu, Zhiwei Steven Wu. 1 computer file (PDF); xx, 272 pages.Machine learning-based technologies are increasingly being used to assist care work in high-stakes domains, from provisioning resources for poor families to providing mental health support for people experiencing distress. These technologies have been introduced in hopes that they improve care and decision quality. Depending on how they are designed and used, these technologies may also perpetuate harms like racial discrimination or carcerality. In order to understand how machine learning technologies can harm or help, it is necessary to understand the perspectives of people who use these technologies or are impacted by them. Yet, in many high-stakes domains, the perspectives of impacted people ---especially those who are marginalized or do not have the ability to directly influence the design of these technologies--- remain overlooked. This dissertation presents case studies of evaluating and designing machine learning technologies in child welfare and digital mental health through both quantitative and qualitative methods with people who may be impacted by machine learning technologies. Within child welfare, I explore how existing algorithmic decision-making tools exacerbate harms. First, I evaluate a particular algorithm used in the child welfare system to understand how workers use it to reduce or exacerbate racial biases. Second, I engage impacted people like parents and workers to understand how these algorithmic technologies replicate further systemic harms like carcerality. I then explore how we might design different technologies to benefit those most marginalized by the child welfare system. Within digital mental health, I continue to explore how AI-based technologies might be designed or deployed responsibly in this space, if at all. I use participatory design to understand how digital mental health support providers approach suicide prevention online and whether they think machine learning technologies could benefit them while preventing harms to support seekers. Finally, based on suggestions from mental health support providers, I design and evaluate conversational agents that simulate people in distress to help train new support providers. This work aims to showcase ways to understand how machine learning technologies exacerbate systemic harms and how we might design them better.Stapleton, Logan. (2025). Responsible machine learning in child welfare and digital mental health. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277399
William Logan Fisher (1781-1862)
No full textWilliam Logan Fisher, industrialist, author, and Philadelphia patriarch bought the Belfield estate from the Peale family in 1826. He lived at Wakefield and established the Wakefield Mills Manufacturing Company. In its prime, the Wakefield Mills, powered by steam and water, produced an estimated nine-tenths of all hosiery and fancy knit goods in the United States.https://digitalcommons.lasalle.edu/people_places/1000/thumbnail.jp
Art and its practices an investigation of contemporary art: Jim Logan a question of ideals Kamloops Art Gallery March 5 to April 12, 1992
No full textThe exhibition of work by Jim Logan, A Question of Ideals, is one of many native art exhibitions organized by the Kamloops Art Gallery in recognition of important Canadian artists. In his work, Jim Logan deals with multilayered issues. Using images appropriated from histori European art, he addresses issues of Eurocentric privelege, male domination, and native abuses through family breakdown and alcoholism.Not peer reviewedArtist catalogu
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