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Title
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A Pandemic at the Library: Lessons from COVID-19 About Technology Needs For Remote Working During a Crisis
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Description
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In March 2020, during the COVID-19 crisis, Grinnell College in Grinnell, Iowa, United States decided to close its campus and that the majority of its employees would be working remotely. The library technology team had to work with limited time to ensure that the rest of the staff could perform their tasks remotely. This poster discusses how the library technology team set staff up to work remotely and lessons learned and best practices for setting up library staff to work remotely during the next crisis.
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Date Created
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2020
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PID
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grinnell:28276
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Title
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A Two-Sector Effort-Regulation Model with Implications for Wage Developments of the 1980s
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Description
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A simple two-sector effort-regulation model, which assumes that the cost of job loss responds to labor's bargaining power and which acknowledges influences of institutional change, import penetration and shifting employment, can account for the declining real wages for non-supervisory workers in goods sector industries in the 1980s.
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Date Created
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1991
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PID
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grinnell:11678
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Title
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Adoption of the No-Requirements Curriculum
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Description
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Paper by Beryl E. Clotfelter, Professor Emeritus of Physics, on the history of Grinnell College's no-requirements curriculum and the establishment of the first-year tutorial.
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Date Created
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2003
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PID
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grinnell:27788
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Title
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Alternative Introductions to Applied Statistics for Mathematics Students, Statistics in the Liberal Arts Workshop (SLAW), Technical Report No. 90-008
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Description
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At many colleges a typical mathematics student's introduction to the field of statistics consists of the standard two semester sequence in Probability and Statistics. Indeed, at many smaller colleges, there are the only courses in statistics available for credit towards a math major. A group of statistics educators, with support from the Sloan Foundation's New Liberal Arts Program, has been investigating alternatives to this approach. Our goal is to capture the interest of mathematically talented students and encourage them to pursue further work in statistics. We believe that this goal can be addressed by developing an applied statistics course which exposes students more quickly to the joys of data analysis, emphasizes the applications of statistics, and utilizes their ability/interest in mathematics. The need for such an alternative course, potential pitfalls in its development, and several specific models for its implementation will be discussed.
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Date Created
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1991
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PID
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grinnell:26691