定量与定性STS:科学计量学的知识与实践贡献

S. Wyatt, Stasa Milojevic, H. Park, L. Leydesdorff
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引用次数: 10

摘要

我们提供了STS的定性和定量形式的共同起源的概述,提供了这段历史的论述帐户。然后,我们展示了科学计量技术如何用于解决实质性的研究问题,并且我们提供了与STS的起源及其技术状况相关的例子。我们的目的不是对定性或定量方法进行详尽的回顾,因为存在许多方法教科书(例如Moed等人,2004;Franklin 2012),尽管当代STS倾向于忽视方法。最后的实质性部分以“大数据”和“反身性”为主题,并对目前指标的使用进行了一些反思。我们主张在广义的STS中,在定性和定量方法之间进行更大的调和。我们认为,通过丰富STS学者可用的方法,这种合作为探索新的和旧的研究问题提供了机会。还有两个更实际的理由要求在STS中进一步整合定量和定性方法。首先是对“大数据”、计算方法以及人文和社会科学中数据和知识的数字表示形式的日益关注(Mayer-Schonberger和Cukier 2013;Borgman 2015)。第二个原因,特别是对于那些在科学院工作的STS学者来说,是更深入地理解科学计量学对于理解和形成对大学排名、评估和学术界工作的审计文化的明智批评是必要的(Dahler-Larsen 2011;Hicks et al. 2015(也称为“Leiden Manifesto”);Halffman and Radder 2015;斯特拉斯恩2000)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Quantitative and Qualitative STS: The Intellectual and Practical Contributions of Scientometrics
We provide an overview of the common origins of qualitative and quantitative forms of STS, offering a discursive account of this history. We then demonstrate how scientometric techniques can be used to address substantive research questions, and we provide examples relevant both to the origins of STS and its state of the art. Our purpose is not to provide an exhaustive review of either qualitative or quantitative methods, as there exist many methods textbooks for both (e.g. Moed et al. 2004; Franklin 2012), although contemporary STS has tended to neglect methods. The final substantive section picks up the themes of “big data” and “reflexivity”, and also provides some reflection on the current use of indicators. We argue for greater conciliation between qualitative and quantitative methods within STS, broadly defined. We suggest that such collaboration, by enriching the repertoire of methods available to STS scholars, provides opportunities for exploring new and old research questions. There are also two more pragmatic reasons for this plea for further integration of quantitative and qualitative approaches in STS. The first is the growing attention for “big data”, computational methods, and digital forms of representation of data and knowledge in the humanities and the social sciences (Mayer-Schonberger and Cukier 2013; Borgman 2015). The second reason, especially for those STS scholars based in the academy, is that a deeper understanding of scientometrics is necessary for making sense of and for formulating informed criticism about university rankings, evaluations and the audit culture within which academics work (Dahler-Larsen 2011; Hicks et al. 2015 (also known as ‘Leiden Manifesto’); Halffman and Radder 2015; Strathern 2000).
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