Now showing items 1-4 of 4

    • Are machine learning corpora “fair dealing” under Canadian law? 

      Brown, Dan; Byl, Lauren; Grossman, Maura R. (Proceedings of the 12th International Conference on Computational Creativity, 2021-09)
      We consider the use of large corpora for training compuationally creative systems, particularly those that write new text based on the style of an existing author or genre. Under Canadian copyright law, a key concern for ...
    • From Coast to Coast: Canadian Collaboration in a Changing RDM Seascape 

      Sewerin, Cristina; Barsky, Eugene; Dearborn, Dylanne; Henshilwood, Angela; Hwang, Christina; Keys, Sandra; Mitchell, Marjorie; Spence, Michelle; Szigeti, Kathy; Zaraiskaya, Tatiana (2016-06-06)
      There is power in collaboration. With academic institutions across Canada preparing for possible changes in funding requirements around sharing and preserving data and the submission of data management plans, librarians ...
    • No, we can't just script it: and other refrains from (tired) archival data migrators 

      Robichaud, Danielle; Allain, Sara (2017-09-28)
      How are print finding aids migrated from binders in reading rooms to web-based descriptive platforms? And why is it taking so long? Paying special attention to format, description and discoverability challenges presented ...
    • Understanding Undergraduate Engineering Student Information Access and Needs: Results from a Scoping Review 

      Mercer, Kathryn; Weaver, Kari; Stables-Kennedy, Ariel (American Society for Engineering Education, 2019-06-16)
      To the authors knowledge this is the first review to examine the current body of research on how engineering students access, use, and understand information; identify gaps in the literature, and how this can be used to ...

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