What is scientific knowledge, and how is it created, accumulated, transformed, and used? If we want to know the answers to these questions, we need to be able to uncover the structures and mechanisms of science, in addition to the metrics that are easily collectable and quantifiable. In this review article, we link metrics to mechanisms, by demonstrating how emerging metrics not only offer complementaries to the existing metrics, but also shed light on the underlying mechanisms related to ten key quantities of interest in the Science of Science, including discovery significance, finding replicability, knowledge cumulativeness, and beyond. We classify existing theories and findings into three fundamental properties of science: hot and cold science, soft and hard science, fast and slow science. We suggest that curiosity about structure and mechanisms of science since Derek J. de Solla Price, Eugene Garfield, Robert K. Merton, and many others complement the zeitgeist in pursuing new, complex metrics without understanding the underlying processes.
翻译:科学知识是什么,它是如何创造、积累、转变和使用的?如果我们想知道这些问题的答案,我们需要能够发现科学的结构和机制,除了易于收集和量化的计量之外,还需要能够发现科学的结构和机制。在本审查文章中,我们将衡量尺度与机制联系起来,展示新兴指标如何不仅对现有计量尺度起到补充作用,而且还揭示了与科学领域十大重要利益相关的基本机制,包括发现意义、可复制性、知识积累性等。我们把现有的理论和研究结果分为三个基本科学特性:热和冷科学、软和硬科学、快速和缓慢的科学。我们建议,自德里克·德索拉·普赖尔、尤金·加菲尔德、罗伯特·梅尔顿和许多其他方面以来,对科学结构和机制的好奇心在于如何在不了解基本进程的情况下追求新的、复杂的计量方法。