新冠肺炎在线纪念活动中丧亲之痛的网络讨论

IF 1.6 2区 文学 N/A LANGUAGE & LINGUISTICS International Journal of Corpus Linguistics Pub Date : 2021-10-27 DOI:10.1075/ijcl.21135.mcg
M. McGlashan
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引用次数: 2

摘要

本文报告了对2020年英国国教网站https://www.rememberme2020.uk/上发布的在线COVID-19纪念馆的研究。本文采用语料库辅助话语研究(CADS)方法分析在线纪念中共同出现的语言项目(类型和引理)和模式(ngrams)的网络,并研究这些频繁项目/模式如何存在于支撑总体丧亲话语的网络话语中。分析发现,丧亲话语的基础是对爱、关系和关系认同、时间和时间性、失去/缺失和记忆的频繁提及,以及基于容器和旅程意象图式的隐喻。对这些死亡和丧亲之痛的隐喻表征的分析表明,在线纪念作为丧亲之痛的社会实践空间,并表明用于悲伤的语言如何试图在意识形态上(再现)呈现丧亲之痛和死者之间的关系。本文中使用的所有代码都可以在https://osf.io/khcj2/上找到。
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Networked discourses of bereavement in online COVID-19 memorials
This paper reports on study of online COVID-19 memorials posted during 2020 to the Church of England website https://www.rememberme2020.uk/. The paper employs a Corpus-Assisted Discourse Studies (CADS) approach to analyse networks of co-occurring linguistic items (types and lemmata) and patterns (ngrams) within online memorials, and examines how these frequent items/patterns exist within networked discourses that underpin an overarching bereavement discourse. The analysis finds that bereavement discourse is underpinned by frequent reference to love, relationships and relational identification, time and temporality, loss/absence, and memory, as well as metaphors based on container and journey image schema. An analysis of these metaphorical representations of death and bereavement suggest that online memorials serve as a space for the social practice of bereavement and shows how the language used to grieve attempts to ideologically (re)present the relationships between the bereaved and decedent. All code used in this paper can be found at https://osf.io/khcj2/.
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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
43
期刊介绍: The International Journal of Corpus Linguistics (IJCL) publishes original research covering methodological, applied and theoretical work in any area of corpus linguistics. Through its focus on empirical language research, IJCL provides a forum for the presentation of new findings and innovative approaches in any area of linguistics (e.g. lexicology, grammar, discourse analysis, stylistics, sociolinguistics, morphology, contrastive linguistics), applied linguistics (e.g. language teaching, forensic linguistics), and translation studies. Based on its interest in corpus methodology, IJCL also invites contributions on the interface between corpus and computational linguistics.
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