1,720,989 research outputs found

    County databook of positional leadership, 2000-2020

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    Nonprofit data from the IRS / National Center for Charitable Statistics Government data from the US Census Government Integrated Directory Census data from the 2020 US Decennial Census, redistricting data.This dataset contains the data on positional leadership. Positional leaders are crucial components of our communities and there are many governmental positions – both elected and appointed – to fill. This fact sheet documents the number of governmental and nonprofit organizations across Minnesota by county. A rural-urban lens is also used to examine differences in leadership supply and demand.Winchester, Benjamin S. (2023). County databook of positional leadership, 2000-2020. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/3ZQS-MK11

    Economic Impact of New Residents in Big Stone, Chippewa, Lac Qui Parle, Swift, and Yellow Medicine Counties

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    1 electronic resource (PDF). This archival publication may not reflect current scientific knowledge or recommendations. Current information available from the University of Minnesota Extension: https://www.extension.umn.edu.Tuck, Brigid; Winchester, Benjamin S. (2011). Economic Impact of New Residents in Big Stone, Chippewa, Lac Qui Parle, Swift, and Yellow Medicine Counties. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/171572

    Economic Impact of Locally-Sourcing Retailers

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    Extension's research is informed by the programs and partnerships we have with communities across the state. Learn more at extension.umn.edu.Tuck, Brigid; Winchester, Benjamin S; Pesch, Ryan. (2019). Economic Impact of Locally-Sourcing Retailers. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/211423

    The Age of Mobility: bringing Community Economic data into the modern era

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    This study explores the transformative impact of mobile data on community and economic development strategies, focusing on Wadena County, Minnesota. Recognizing traditional data boundaries as barriers to understanding regional economic dynamics, the research highlights the importance of integrating mobile data to capture the patterns of mobility among residents. Utilizing innovative methodologies, including the "Middle of Everywhere" approach, the study maps residents' travel habits for work, shopping, and recreation, revealing the interconnectedness of rural communities beyond conventional county lines. Findings demonstrate that mobile data can help rural communities access accurate representations of economic activity and community engagement, paving the way for more effective regional development strategies. This case study underscores the necessity for modern tools to overcome data limitations and enhance our understanding of how rural populations interact within broader economic landscapes.LeMier, DeeDee; Winchester, Benjamin. (2025). The Age of Mobility: bringing Community Economic data into the modern era. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/278710

    Highway 29 North Shore Asset Inventory

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    Prepared in partnership with the Center for Small Towns and the Farm Womens Network by the Community Assistantship Program (CAP) ,administered by the Center for Urban and Regional Affairs (CURA) at the University of Minnesota.Forbord, Mary Jo; Maringer, Andrea; Linscheid, Neil; Winchester, Benjamin S. (2005). Highway 29 North Shore Asset Inventory. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/195566

    The Brain Gain of the Newcomers

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    The population in rural Minnesota has changed significantly over that past decade. Many of the most interesting changes have occurred in areas that we don’t normally discuss. Commonly referred to as the rural rebound, between 1990 and 1999, over 2.2 million more Americans moved from metropolitan counties to non-metropolitan counties. Looking closer at the demographics of population change, research a the U of M showed an unexpected in-migration of adults aged 30 – 49 into rural areas of Minnesota, even in the most rural counties that do not have amenities or new economic drivers. This in-migration into rural communities is sometimes equal to the “brain drain” brought about by out-migrated youth. Further examination of this 30 – 49 cohort showed that it is composed of adults in their prime earning years. Given this refreshed view of changing demographics, rural America needs to rethink its description of gains and losses. If rural America is losing highschool educated youth (the brain drain) and replacing them with those that at least have a high school education – and in many cases a bachelor’s degree or higher – shouldn’t this be described as a “brain gain”?Winchester, Benjamin S. (2009). The Brain Gain of the Newcomers. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/58533

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

    Variations on the Author

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    “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

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    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
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