Department of Physics, The Pennsylvania State University, University Park, PA, United States of America.
Department of Psychology, The Pennsylvania State University, University Park, PA, United States of America.
PLoS One. 2021 Dec 16;16(12):e0260567. doi: 10.1371/journal.pone.0260567. eCollection 2021.
We propose a framework of Resources, Achievement, Status, and Events (RASE) that allows the many disparate but well-documented phenomena affecting underrepresented groups in STEM to be assembled into a story of career trajectories, illuminating the possible cumulative impact of many small inequities. Our framework contains a three-component deterministic cycle of (1) production of Achievements from Resources, (2) updated community Status due to Achievements, and (3) accrual of additional Resources based on community Status. A fourth component, stochastic Events, can influence an individual's level of Resources or Achievements at each time step of the cycle. We build a specific mathematical model within the RASE framework and use it to investigate the impact of accumulated disadvantages from multiple compounding variables. We demonstrate that the model can reproduce data of observed disparities in academia. Finally, we use a publicly available visualization and networking tool to provide a sandbox for exploring career outcomes within the model. The modeling exercise, results, and visualization tool may be useful in the context of training STEM faculty to recognize and reduce effects of bias.
我们提出了一个资源、成就、地位和事件（RASE）的框架，该框架可以将影响 STEM 领域代表性不足群体的许多不同但有充分记录的现象组合成一个职业轨迹的故事，阐明许多小的不平等可能产生的累积影响。我们的框架包含一个由（1）资源产生成就、（2）成就导致社区地位更新、（3）基于社区地位获得额外资源组成的三部分确定性循环。第四个组件，随机事件，可以在循环的每个时间步影响个人的资源或成就水平。我们在 RASE 框架内建立了一个特定的数学模型，并使用它来研究多个复合变量累积劣势的影响。我们证明该模型可以再现学术界观察到的差异数据。最后，我们使用一个公开的可视化和网络工具为模型内的职业结果提供一个沙盒。该建模练习、结果和可视化工具在培训 STEM 教师识别和减少偏见影响方面可能有用。
