On Measuring Individual Knowledge in Organizations
当正确答案未知时，如何准确测量个体和群体所掌握的知识？本文基于人类学共识理论提出一种新方法，并用独特数据集与传统标准化测试比较，发现共识法在多种情境下能高精度估计知识水平。
How can knowledge held by individuals and groups be accurately measured when the a priori ``right'' answers are unknown? This article presents a promising new approach, based on anthropological consensus theory, to solving this common research problem. Using a unique data set, we compare the consensus approach with more traditional approaches (e.g., standardized testing). The results suggest that a consensus-based method may be a highly accurate way to estimate knowledge levels in a number of settings.