论文标题
曾经高度生产,永远生产力很高?从纵向的角度来看,全部教授的研究生产力
Once Highly Productive, Forever Highly Productive? Full Professors' Research Productivity from a Longitudinal Perspective
论文作者
论文摘要
这项纵向研究探讨了随着时间的推移研究生产力的持久性。我们研究了14个STEMM学科中2,326名正式教授的学术职业的轨迹,研究了他们的终生传记历史和出版历史。在早期的职业阶段,将每个完整的教授与生产力课(上,中,底部)的同龄人进行比较。我们使用了声望一致的生产力,在高影响力期刊上,高度影响的文章的重量更大,认识到学术科学的高度分层性质。我们的结果表明,高层生产力课程的会员资格在很大程度上取决于早些时候参加这些课程。当前一半的高产富有生产力的教授在其整个学术职业中都属于顶级生产力课程。一半的高产助理教授继续担任高级生产副教授,一半的高产副教授继续担任最高生产力的完整教授(52.6%和50.8%)。生产力类别中的自上而下和自下而上的转变发生了略微发生。过去50年(n = 100万)的传记数据和人口统计数据与原始Scopus出版数据的结合使得将所有完整的教授追溯到不同的生产率,促进年龄和促进速度级课程成为可能。在逻辑回归模型中,属于全部教授的顶级生产力班的两个有力预测指标作为助理教授和副教授的生产力很高(增加了180%和360%的赔率)。性别和年龄(生物学或学术)都没有统计学意义。
This longitudinal study explores persistence in research productivity over time. We examine the trajectories of the academic careers of 2,326 current full professors in 14 STEMM disciplines, studying their lifetime biographical histories and publication histories. Every full professor is compared in terms of productivity classes (top, middle, bottom) with their peers at earlier career stages. We used prestige-normalized productivity in which more weight is given to articles in high-impact than in low-impact journals, recognizing the highly stratified nature of academic science. Our results show that membership in top productivity classes is to a large extent determined by being in these classes earlier. Half of the current top productive full professors belonged to top productivity classes throughout their academic careers. Half of the top productive assistant professors continued as top productive associate professors, and half of the top productive associate professors continued as top productive full professors (52.6% and 50.8%). Top-to-bottom and bottom-to-top transitions in productivity classes occurred marginally. The combination of biographical and demographic data with raw Scopus publication data from the past 50 years (N=1 million) made it possible to assign all full professors retrospective to different productivity, promotion age, and promotion speed classes. In logistic regression models, two powerful predictors of belonging to the top productivity class for full professors were being highly productive as assistant professors and as associate professors (increasing the odds by 180% and 360%). Neither gender nor age (biological or academic) emerged as statistically significant.