Pipers, Droppers, Nevers, and Hoppers: Observed Career Pathways Among STEM Ph.D. Scientists

K. Edwards, Hannah Acheson-Field, Stephanie Rennane, Melanie A Zaber
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Abstract

This paper investigates the appropriateness of the pipeline metaphor and its appropriateness to the careers of individuals with Ph.D.s in a science, technology, engineering, or math (STEM) discipline. Using longitudinal data that follows the first 7-9 years of post-conferral employment among scientists who attained their degree in the U.S. between 2000-2008. We examine all STEM Ph.D.s in our sample as well as each specific discipline. In our primary analysis, we examine the share of careers that fit into pipeline-defined trajectories: on the tenure track (pipers), left the tenure track (droppers), never entered tenure track (nevers), and those who “hop” from outside academia into academia (hoppers). We find that a traditional pipeline path into a tenure track position describes a minority of career trajectories; the majority of Ph.D. scientist never work in academia. Further, a large share of tenure-track faculty “hop” into their position, meaning that they were in a non-tenure-track job before a tenure-track position, a career path not possible within the pipeline framework. We use two alternative methods yielding similar results: the pipeline metaphor is not useful for most careers, and we propose, not accurate. We offer an alternative conceptualization—the STEM lattice—and discuss how a lattice offers more opportunity for identifying policy intervention for increasing underrepresented minorities in STEM.
piper, dropers, never, and hopper:观察到的STEM博士科学家的职业道路
本文调查了管道比喻的适当性,以及它对科学、技术、工程或数学(STEM)学科的博士个人职业生涯的适当性。使用纵向数据跟踪了2000-2008年间在美国获得学位的科学家在授予工作后的前7-9年。我们检查了样本中的所有STEM博士以及每个特定学科。在我们的初步分析中,我们检查了符合管道定义轨迹的职业份额:在终身教职轨道上(管道者),离开终身教职轨道(drop ppers),从未进入终身教职轨道(never),以及那些从学术界外“跳”进学术界的(hopper)。我们发现,通往终身职位的传统管道路径只描述了少数职业轨迹;大多数博士科学家从未在学术界工作过。此外,很大一部分终身教职员工“跳”进了他们的职位,这意味着他们在获得终身教职之前,从事的是一份非终身教职的工作,而这条职业道路在管道框架内是不可能的。我们使用了两种替代方法,得到了类似的结果:管道比喻对大多数职业都没有用,而且我们认为它不准确。我们提供了另一种概念化- STEM格-并讨论格如何为识别政策干预提供更多机会,以增加STEM中代表性不足的少数群体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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