Academic paper as a genre is communicative.Interactional metadiscourse is one of the linguistic features that can significantly show the communicative feature of texts.With different research methodologies and charact...Academic paper as a genre is communicative.Interactional metadiscourse is one of the linguistic features that can significantly show the communicative feature of texts.With different research methodologies and characteristics,academic papers of hard and soft science present different degree of communicative features.The corpus of this study consists of 16 academic papers among which 8 are from hard science and 8 from soft science.This article aims to explore the different ways of scholars from soft and hard science to use metadiscourse in the conclusion part of their academic papers to exert lights to the pedagogical development of academic papers.展开更多
Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of di...Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of disciplines’cross-disciplinary impact.Design/methodology/approach:In this study,we define cross-disciplinary impact on one discipline as its impact to other disciplines,and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact.The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications,and the balance and disparity of cross-disciplinary impact were measured as well.To demonstrate the cross-disciplinary impact of the disciplines in science,we chose Microsoft Academic Graph(MAG)as the data source,and investigated the relationship between disciplines’cross-disciplinary impact and their positions in the Hierarchy of Science(HOS).Findings:Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure,and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines.Several bibliometric features that measure the hardness of a discipline,including the number of references,the number of cited disciplines,the citation distribution,and the Price index have a significant positive effect on the variety of cross-disciplinary impact.The number of references,the number of cited disciplines,and the citation distribution have significant positive and negative effects on balance and disparity,respectively.It is concluded that the less hard the discipline,the greater the cross-disciplinary impact,the higher balance and the lower disparity of cross-disciplinary impact.Research limitations:In the empirical analysis of HOS,we only included five broad disciplines.This study also has some biases caused by the data source and applied regression models.Practical implications:This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research,as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value:This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.展开更多
以Web of Science数据库为数据源,通过限定作者单位为中国政法大学的检索条件,检索出中国政法大学在2008—2018年发表的法学领域内的相关论文,并从总发文量、年度发文量、期刊载文量以及论文引用频次统计、作者情况等方面进行统计分析,...以Web of Science数据库为数据源,通过限定作者单位为中国政法大学的检索条件,检索出中国政法大学在2008—2018年发表的法学领域内的相关论文,并从总发文量、年度发文量、期刊载文量以及论文引用频次统计、作者情况等方面进行统计分析,揭示了中国政法大学法学领域的研究现状和发展趋势,文末结合统计分析的结果针对如何提升该校的科研水平提出了一些建议。展开更多
为满足情报学科研人员对跨学科论文的需求,本文构建了基于学术网络的跨学科论文推荐模型。首先,根据论文关键词耦合网络及作者对论文的引用网络特征,挖掘作者与论文的相关性,实现基于关键词耦合的论文推荐;其次,利用作者引文耦合网络特...为满足情报学科研人员对跨学科论文的需求,本文构建了基于学术网络的跨学科论文推荐模型。首先,根据论文关键词耦合网络及作者对论文的引用网络特征,挖掘作者与论文的相关性,实现基于关键词耦合的论文推荐;其次,利用作者引文耦合网络特征及作者跨学科引用关系、论文共被引关系与论文的学科属性,分别挖掘作者与论文的跨学科性,并计算跨学科性相似度,实现基于学科相似性的论文推荐;最后,结合基于关键词耦合的论文推荐和基于学科相似性的论文推荐,实现跨学科论文混合推荐。以CSSCI(Chinese Social Sciences Citation Index)数据库中的数据对模型进行验证,实证结果表明,本文提出的推荐模型推荐结果具备跨学科性;与基于关键词耦合的论文推荐方法相比,结合跨学科特征后在作者推荐成功率、平均准确率和平均召回率上均有提高。展开更多
文摘Academic paper as a genre is communicative.Interactional metadiscourse is one of the linguistic features that can significantly show the communicative feature of texts.With different research methodologies and characteristics,academic papers of hard and soft science present different degree of communicative features.The corpus of this study consists of 16 academic papers among which 8 are from hard science and 8 from soft science.This article aims to explore the different ways of scholars from soft and hard science to use metadiscourse in the conclusion part of their academic papers to exert lights to the pedagogical development of academic papers.
基金funded by the National Natural Science Foundation of China(NSFC)Grant Nos.71921002 and 72174154.
文摘Purpose:Interdisciplinary fields have become the driving force of modern science and a significant source of scientific innovation.However,there is still a paucity of analysis about the essential characteristics of disciplines’cross-disciplinary impact.Design/methodology/approach:In this study,we define cross-disciplinary impact on one discipline as its impact to other disciplines,and refer to a three-dimensional framework of variety-balance-disparity to characterize the structure of cross-disciplinary impact.The variety of cross-disciplinary impact of the discipline was defined as the proportion of the high cross-disciplinary impact publications,and the balance and disparity of cross-disciplinary impact were measured as well.To demonstrate the cross-disciplinary impact of the disciplines in science,we chose Microsoft Academic Graph(MAG)as the data source,and investigated the relationship between disciplines’cross-disciplinary impact and their positions in the Hierarchy of Science(HOS).Findings:Analytical results show that there is a significant correlation between the ranking of cross-disciplinary impact and the HOS structure,and that the discipline exerts a greater cross-disciplinary impact on its neighboring disciplines.Several bibliometric features that measure the hardness of a discipline,including the number of references,the number of cited disciplines,the citation distribution,and the Price index have a significant positive effect on the variety of cross-disciplinary impact.The number of references,the number of cited disciplines,and the citation distribution have significant positive and negative effects on balance and disparity,respectively.It is concluded that the less hard the discipline,the greater the cross-disciplinary impact,the higher balance and the lower disparity of cross-disciplinary impact.Research limitations:In the empirical analysis of HOS,we only included five broad disciplines.This study also has some biases caused by the data source and applied regression models.Practical implications:This study contributes to the formulation of discipline-specific policies and promotes the growth of interdisciplinary research,as well as offering fresh insights for predicting the cross-disciplinary impact of disciplines.Originality/value:This study provides a new perspective to properly understand the mechanisms of cross-disciplinary impact and disciplinary integration.
文摘以Web of Science数据库为数据源,通过限定作者单位为中国政法大学的检索条件,检索出中国政法大学在2008—2018年发表的法学领域内的相关论文,并从总发文量、年度发文量、期刊载文量以及论文引用频次统计、作者情况等方面进行统计分析,揭示了中国政法大学法学领域的研究现状和发展趋势,文末结合统计分析的结果针对如何提升该校的科研水平提出了一些建议。
文摘为满足情报学科研人员对跨学科论文的需求,本文构建了基于学术网络的跨学科论文推荐模型。首先,根据论文关键词耦合网络及作者对论文的引用网络特征,挖掘作者与论文的相关性,实现基于关键词耦合的论文推荐;其次,利用作者引文耦合网络特征及作者跨学科引用关系、论文共被引关系与论文的学科属性,分别挖掘作者与论文的跨学科性,并计算跨学科性相似度,实现基于学科相似性的论文推荐;最后,结合基于关键词耦合的论文推荐和基于学科相似性的论文推荐,实现跨学科论文混合推荐。以CSSCI(Chinese Social Sciences Citation Index)数据库中的数据对模型进行验证,实证结果表明,本文提出的推荐模型推荐结果具备跨学科性;与基于关键词耦合的论文推荐方法相比,结合跨学科特征后在作者推荐成功率、平均准确率和平均召回率上均有提高。
