๐ค AI Summary
็ ็ฉถ้่ฟๅๆ1960-2025ๅนด้ด5600ไธ็ฏ่ฎบๆๅ8.16ไบฟๅผ็จ๏ผๆข่ฎจ่ทจๅญฆ็ง็ฅ่ฏ็ปๅๆจกๅผ็ๅๅ๏ผๅ็ฐๅ
ถไปๆ ๅ
ฑๅๅบ็ก่ฝฌๅ้จๅ้ๅ ็็ฅ่ฏๅบใ
๐ Abstract
This study examines how the dominant mode of cross-disciplinary knowledge combination has changed over time. It addresses a limitation of existing studies that document declining disruptiveness at the level of individual works but do not reveal whether the mechanisms of cross-disciplinary knowledge flow have themselves shifted. Drawing on 56 million publications and 816 million citations from OpenAlex (1960-2025), the study classifies cross-disciplinary citations into five types based on the set relationship between the subfield portfolios of citing and cited publications and introduces a semantic-distance measure derived from SPECTER-v2 embeddings of publication abstracts. It subsequently demonstrates that cross-disciplinary citations have shifted markedly away from configurations with no shared disciplinary ground toward types built on partially overlapping knowledge bases, a reorientation further reflected in a steady decline in average semantic distance between citing and cited fields. This shift co-occurs with a diffusion of brokerage positions across the network and a greater reliance on older literature, consistent with a system that has become broader and more decentralized in its interdisciplinary reach. Finally, this study discusses the implications of these findings for science policy and for the design of cross-disciplinary funding mechanisms.