{"title":"The use of animal classifiers as a stance negotiation strategy in Cantonese interactional discourse","authors":"A. Chan","doi":"10.1515/text-2020-0223","DOIUrl":null,"url":null,"abstract":"Abstract This study adopts the idea of ‘stance triangle’ and ‘double dialogicality’ and examines the use of animal classifiers for human referents in the stance negotiation process in Cantonese. Drawing on the data from a Corpus of Mid-twentieth-century Hong Kong Cantonese, this study explores how participants deploy two animal classifiers (i.e., tiu4, a classifier for fish, and zek3, a classifier for animal) to express their negative stance towards another person. The present study specifically analyzes three examples where the relationships between the stance subjects (SS1-SSn) and stance objects (O) are different: O is present in the interaction in one instance, and absent in the other two instances. My analysis suggests that upon the display of negative stance towards O by the original stance subject, other stance subjects can deny the ‘joint attention’ to avoid establishing any alignment link with the original stance taker as a way of negotiating their stance. I propose an extended model of ‘stance triangle’ which better captures the fluidity and dialogicality in the stance negotiation process.","PeriodicalId":46455,"journal":{"name":"Text & Talk","volume":" ","pages":""},"PeriodicalIF":0.8000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Text & Talk","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1515/text-2020-0223","RegionNum":3,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0
Abstract
Abstract This study adopts the idea of ‘stance triangle’ and ‘double dialogicality’ and examines the use of animal classifiers for human referents in the stance negotiation process in Cantonese. Drawing on the data from a Corpus of Mid-twentieth-century Hong Kong Cantonese, this study explores how participants deploy two animal classifiers (i.e., tiu4, a classifier for fish, and zek3, a classifier for animal) to express their negative stance towards another person. The present study specifically analyzes three examples where the relationships between the stance subjects (SS1-SSn) and stance objects (O) are different: O is present in the interaction in one instance, and absent in the other two instances. My analysis suggests that upon the display of negative stance towards O by the original stance subject, other stance subjects can deny the ‘joint attention’ to avoid establishing any alignment link with the original stance taker as a way of negotiating their stance. I propose an extended model of ‘stance triangle’ which better captures the fluidity and dialogicality in the stance negotiation process.
期刊介绍:
Text & Talk (founded as TEXT in 1981) is an internationally recognized forum for interdisciplinary research in language, discourse, and communication studies, focusing, among other things, on the situational and historical nature of text/talk production; the cognitive and sociocultural processes of language practice/action; and participant-based structures of meaning negotiation and multimodal alignment. Text & Talk encourages critical debates on these and other relevant issues, spanning not only the theoretical and methodological dimensions of discourse but also their practical and socially relevant outcomes.