The scientometric landscape of Evolang: A comprehensive database of the Evolang conference

IF 2.1 N/A LANGUAGE & LINGUISTICS
Sławomir Wacewicz, Marta Sibierska, Placiński Marek, A. Szczepańska, Aleksandra Poniewierska, Yen Ng, Przemysław Żywiczyński
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Abstract

Language evolution is a modern incarnation of a long intellectual tradition that addresses the fundamental question of how language began. Such a formulation is intuitively obvious, but a more precise characterisation of this area of research with its central notions—language and evolution—has proved surprisingly elusive. In this paper, we show how conceptual analysis can be complemented with scientometric analysis in describing language evolution. To this end, we built a database containing information on the contributions and contributors to the proceedings of the nine most recent iterations (years 2004–20) of the Evolang conference, which given its long history (1996–) and attendance rates gives a good reflection of the thematic scope and research trends in the field of language evolution as a whole. We present several analyses of these data, concerning the geographical distribution of the researchers contributing to the conference, a set of ‘classic’ references most frequently cited in Evolang proceedings, researcher profiles self-associated with the most popular tags for this area of research (such as ‘evolution of language’ vs. ‘language evolution’), and the changes to the profile of the conference as represented in the proportions of topics and author networks over the most recent Evolang iterations. While our resource is intended primarily as a source of insight into the Evolang conference—and by extension into the entire field of language evolution—it holds potential for comparisons with other fields and for addressing questions on the production of scientific knowledge.
Evolang的科学计量学景观:Evolang会议综合数据库
语言进化是一个长期的知识传统的现代体现,它解决了语言是如何开始的这个基本问题。这样的表述在直觉上是显而易见的,但对这一研究领域及其中心概念——语言和进化——的更精确的描述却被证明是令人惊讶的难以捉摸。在本文中,我们展示了在描述语言进化时,概念分析如何与科学计量分析相辅相成。为此,我们建立了一个数据库,其中包含了Evolang会议最近九次(2004 - 2020年)会议记录的贡献和贡献者的信息,鉴于其悠久的历史(1996 -)和出席率,它很好地反映了整个语言进化领域的主题范围和研究趋势。我们对这些数据进行了一些分析,包括为会议做出贡献的研究人员的地理分布、在Evolang会议记录中最常被引用的一组“经典”参考文献、与该研究领域最流行的标签(如“语言进化”与“语言进化”)相关联的研究人员概况、以及在最近的Evolang迭代中,主题和作者网络的比例所代表的会议概况的变化。虽然我们的资源主要是为了深入了解Evolang会议,并扩展到整个语言进化领域,但它有可能与其他领域进行比较,并解决有关科学知识生产的问题。
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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来源期刊
Journal of Language Evolution
Journal of Language Evolution Social Sciences-Linguistics and Language
CiteScore
4.50
自引率
7.70%
发文量
8
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