Sławomir Wacewicz, Marta Sibierska, Placiński Marek, A. Szczepańska, Aleksandra Poniewierska, Yen Ng, Przemysław Żywiczyński
{"title":"The scientometric landscape of Evolang: A comprehensive database of the Evolang conference","authors":"Sławomir Wacewicz, Marta Sibierska, Placiński Marek, A. Szczepańska, Aleksandra Poniewierska, Yen Ng, Przemysław Żywiczyński","doi":"10.1093/jole/lzad003","DOIUrl":null,"url":null,"abstract":"\n 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.","PeriodicalId":37118,"journal":{"name":"Journal of Language Evolution","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Language Evolution","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jole/lzad003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"LANGUAGE & LINGUISTICS","Score":null,"Total":0}
引用次数: 0
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.