The academic Great Gatsby Curve.

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Journal of The Royal Society Interface Pub Date : 2024-08-01 Epub Date: 2024-08-14 DOI:10.1098/rsif.2024.0173
Ye Sun, Fabio Caccioli, Xiancheng Li, Giacomo Livan
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Abstract

The Great Gatsby Curve measures the relationship between income inequality and intergenerational income persistence. By using genealogical data of over 245 000 mentor-mentee pairs and their academic publications from 22 different disciplines, this study demonstrates that an academic Great Gatsby Curve exists as well, in the form of a positive correlation between academic impact inequality and the persistence of impact across academic generations. We also provide a detailed breakdown of academic persistence, showing that the correlation between the impact of mentors and that of their mentees has increased over time, indicating an overall decrease in academic intergenerational mobility. We analyse such persistence across a variety of dimensions, including mentorship types, gender and institutional prestige.

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学术上的盖茨比曲线
盖茨比曲线衡量的是收入不平等与代际收入持续性之间的关系。本研究通过使用来自 22 个不同学科的 245 000 多对导师与被导师及其学术论文的系谱数据,证明了学术上的盖茨比曲线同样存在,即学术影响的不平等与跨代学术影响的持续性之间存在正相关关系。我们还对学术持续性进行了详细分析,结果表明,随着时间的推移,导师的影响力与被指导者的影响力之间的相关性越来越大,这表明学术代际流动性总体上有所下降。我们从多个维度分析了这种持续性,包括导师类型、性别和机构声望。
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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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