フラジークHladik・ラジムRadim
1/3📄🚨 Our new preprint on #ScienceMapping is out on @SocArXivBot: "Mapping Knowledge Topic Analysis of Science Locates Researchers in Disciplinary Landscape". We decompose disciplinary classification into three principles of epistemological distinction - Culture-Nature, Life-Non-life, and Materials-Methods - and replace the categorical system of disciplines with a continuous measure of topic orientations of individual researchers. #ScienceOfScience #SociologyOfScience
🔗 https://doi.org/10.31235/osf.io/94jd5
OSF

Feb 26, 2024 at 5:14pmWeb
Show threadフラジークHladik・ラジムRadimFeb 26, 2024
2/3 Our take is first to get the lay of the epistemic land, so to speak, and derive the principles of #ScientificKnowledge #classification from the information we have about the "disciplinary matrix" of topics. The resulting interpretable geometric space provides a map of inhabitable knowledge space. Only then we take a look at where the academic tribes live and project the topic portfolios of individual researchers onto the space of the epistemic possibilities.
Show threadフラジークHladik・ラジムRadimFeb 26, 2024
3/3 #Bibliometric maps are great for showing the relative distances between clusters of knowledge but lack deterministic coordinates and emphasize papers over people. Inversely, #sociological maps focus on individuals in a deterministic system of social variables but poorly capture the intellectual content of science. We reconcile these approaches by focusing on researchers primarily as knowledge producers and thereby trace the relationships between epistemic and social dimensions of science.
Show threadMishaFeb 26, 2024

@hlageek @SocArXivBot

Cool. I'm feeling quite comfortable with my Earth and Environmental Sciences buddies in the middle of it all.

Show threadフラジークHladik・ラジムRadimFeb 26, 2024
@MishaVelthuis We have actually borrowed compositional data techniques from microbiology/geology/environmental sciences for this paper 😅 Thank you 🙏