LLLotW 2023.21
Referencing Toolkit: Indigenous Referencing Guidance for Indigenous Knowledges
This CAVAL-funded project – after a long period of gestation – has finally come to fruition. Written by Indigenous librarians for use by undergraduate students and the librarians who advise them, the toolkit is designed to help people to be think through relevant issues when citing Indigenous knowledges in academic writing.
GPT detectors are biased against non-native English writers
This is not a particularly surprising finding, but it's good to see someone's collected some data. Ironically the study suggests that non-native English writers may be more likely to avoid their writing being flagged as written by SALAMI if they use GPT to re-write their original.
In this study, we evaluate the performance of several widely-used GPT detectors using writing samples from native and non-native English writers. Our findings reveal that these detectors consistently misclassify non-native English writing samples as AI-generated, whereas native writing samples are accurately identified. Furthermore, we demonstrate that simple prompting strategies can not only mitigate this bias but also effectively bypass GPT detectors, suggesting that GPT detectors may unintentionally penalize writers with constrained linguistic expressions.
What this says about the state of university education is left as an exercise for the reader.
Moving away from APCs: a multi-stakeholder working group convened by cOAlition S, Jisc and PLOS
Regular readers will perhaps by unsurprised that I'm somewhat pessimistic about the likelihood of success for this initiative, but I wish them all the best. Anything that includes corporate publishers and ignores the impact of ranking tables and the pressure to publish journal papers is unlikely to resolve the toxic incentives at the heart of academia.
Libraries and Learning Links of the Week is published every week by Hugh Rundle.
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