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On the performativity of SDG classifications in large bibliometric databases
May 7, 2024, 4:50 a.m. | Matteo Ottaviani, Stephan Stahlschmidt
cs.CL updates on arXiv.org arxiv.org
Abstract: Large bibliometric databases, such as Web of Science, Scopus, and OpenAlex, facilitate bibliometric analyses, but are performative, affecting the visibility of scientific outputs and the impact measurement of participating entities. Recently, these databases have taken up the UN's Sustainable Development Goals (SDGs) in their respective classifications, which have been criticised for their diverging nature. This work proposes using the feature of large language models (LLMs) to learn about the "data bias" injected by diverse SDG …
abstract arxiv cs.ai cs.cl cs.dl databases development impact measurement science scientific sustainable sustainable development type visibility web
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