additional data point
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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Robert Barnet Riter ◽  
Bob Friedman ◽  
Kimberly McDade ◽  
Jeff Hirschy

Purpose The Birmingham Black Radio Museum (BBRM) is a community museum and archives located in Birmingham, Alabama (USA) dedicated to preserving and presenting the history of Black radio. The BBRM fulfills this mission through educational programming, providing access to physical and digital materials and supporting emerging curatorial professionals. Through a reflective analysis of the BBRM, the authors discuss the relationship between preservation, public programming and professional outreach, the partnerships that enable these functions and how conceptions of community responsibility have informed the organization’s management strategy. The BBRM provides a context for isolating the factors which inform the emergence of community memory institutions, the challenges associated with managing decentralized information environments and considers how mentorship can operate as a form of capacity building. An examination of the BBRM provides a view of one institution’s approach to engaging community partners and audiences in achieving its primary goal of documentary preservation. Design/methodology/approach This analysis is informed by historical, case study and autoethnographic methods. Emphasis is placed on examining BBRM’s historical origins, primary functions and community mandates. Specific attention is given to examining operations, resources and strategies. Commentary and discussion are grounded by the professional experiences of BBRM staff and collaborators. Findings The operations of the BBRM, and the experiences reported by BBRM staff, are similar to those documented by findings in the community archives and museums literatures. Community mandates and institutional identify have strongly informed the BBRM’s mandates, strategies for engaging the public and establishment of strategic partnerships. Originality/value This reflective analysis documents the operations of one specific community memory institution. Though the experiences documented in this paper are common to many community archives and museums, this study contributes an additional data point, further contributing to the body of evidence necessary to support a more nuanced understanding of the role and function of community memory institutions and their management.


2018 ◽  
Vol 41 (2) ◽  
pp. 137-155
Author(s):  
Alex G. Karanevich ◽  
Jianghua He ◽  
Byron Gajewski

Linear models are some of the most straightforward and commonly used modelling approaches. Consider modelling approximately monotonic response data arising from a time-related process. If one has knowledge as to when the process began or ended, then one may be able to leverage additionalassumed data to reduce prediction error. This assumed data, referred to as the anchor, is treated as an additional data-point generated at either the beginning or end of the process. The response value of the anchor is equal to an intelligently selected value of the response (such as the upper bound, lower bound, or 99th percentile of the response, as appropriate). The anchor reduces the variance of prediction at the cost of a possible increase in prediction bias, resulting in a potentially reduced overall mean-square prediction error. This can be extremely eective when few individual data-points are available, allowing one to make linear predictions using as little as a single observed data-point. We develop the mathematics showing the conditions under which an anchor can improve predictions, and also demonstrate using this approach to reduce prediction error when modelling the disease progression of patients with amyotrophic lateral sclerosis.


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