Learning, Teaching and Library

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https://hdl.handle.net/10182/3848

Recent Submissions

Now showing 1 - 5 of 51
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    15 ways LLMs could ruin scholarly communication - and what we can do about it
    (2023) Fitchett, Deborah
    Despite the dreams of science-fiction fans worldwide, the thing being marketed as "artificial intelligence" is no more than high-powered predictive text. What it gets right is thanks to its input data created by billions of humans, and to an invisible and underpaid workforce of content moderators. What it gets wrong threatens privacy, exacerbates sexism, racism and other inequities, and may even be environmentally damaging. There are situations that are well enough defined that machine models can be useful, but scholarly communication by its nature is full of new and unique information, relying on precisely reported data, that algorithms based on probabilities can't deal with. So as a community we need to come with ways to prevent machine-generated fake papers from poisoning the well of science - and we need to be healthily sceptical of vendors selling us machine-based solutions to problems that can still only be addressed by human intelligence.
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    The New Zealand Thesis Project: A nation's dissertations
    (2023) Braisher, T; Fitchett, Deborah
    The New Zealand Thesis Project showcases the power of collaboration between academic librarians and Wikimedians. Beginning in 2022, the project brought together metadata for more than 66,000 theses from 13 tertiary institutions, cleaned it in OpenRefine, and added records to Wikidata. This allows them to be easily accessed in multiple languages and cited on Wikipedia. In addition, we have disambiguated 12,000 individuals and more than 1800 ANZSRC and Ngā Upoko Tukutuku subject headings connected to the thesis collection, allowing us to visualise our data in new ways and find unexpected connections. Through leveraging the vast amount of data already available on Wikidata, the New Zealand Thesis Project is making it easier than ever before to find and connect relevant research from all over the world. We will describe what we’ve done, the next steps for our project, and how our process could be relevant to other institutional repositories.
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    Indigenous Knowledge and Mātauraka Māori repository collections – Research@Lincoln
    (2022-09-08) Riley, K
    This presentation looks at the background and process to create a repository collection for indigenous research outputs and other content that has a Mātauraka Māori focus.
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    Repository Tools 2 (RT2) migration and impacts to library publications workflow
    (2022-09-08) Zhao, Yanan; Riley, K
    This presentation covers the Repository Tools 2 (RT2) migration steps and lessons learnt. It also addresses changes to the deposit processing workflows and challenges the library publications processing team faced as a result.
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    Journals@Lincoln (OJS) – Migrating to the cloud
    (2022-09-09) Zhao, Y
    This presentation explains why Lincoln University Library migrated Journals@Lincoln (OJS) https://journals.lincoln.ac.nz/ from self hosting to cloud hosting.