Investigating Collective Emotional Structures: Theoretical and Analytical Implications of the ‘Deep Story’ Concept

认识论 社会学 心理学 社会心理学 认知科学 哲学
作者
Maja Sawicka
出处
期刊:Cultural Sociology [SAGE]
卷期号:18 (2): 199-216 被引量:1
标识
DOI:10.1177/17499755241231014
摘要

Since Hochschild proposed the notion of a ‘deep story’ to address a collective emotional structure (particularly resentment) underpinning political attitudes and social divisions in the contemporary USA, this category has been widely embraced across social sciences to reflect upon links between sedimented emotions, motivations, actions and means of social mobilization. Simultaneously, however, criticism of this concept has been articulated which pointed out that Hochschild was inconsistent in her understanding of deep stories and the role this category performs in a sociological investigation. Acknowledging critical addresses presented so far, the article aims at the reconstruction of this concept as an analytical device which can be used to account for collective emotional dynamics accompanying prolonged social transformations. I propose that a deep story can be best understood as a social space in which emotions emerge through an interactional, collaborative process of storytelling. I draw, first, from social-psychological investigations into collective processes of meaning-making to analyse the interplay between the emergence of group-based cognitive categories and their affective implications. Second, I employ narrative theories to account for socio-psychological processes in which group-based, collectively generated cognitive and affective elements are integrated into actual lifeworlds and deployed in sense-making. Finally, I consider the insights pertaining to emotions collectively felt and practised to reflect upon the social dynamic of emotion-sharing. I argue that the notion of a ‘deep story’ is analytically useful only insofar it is embedded in clearly articulated theoretical assertions about cognitive and affective, collective and interpersonal, dynamics of meaning-making.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
orixero应助GONG采纳,获得10
2秒前
2秒前
3秒前
bcw发布了新的文献求助10
3秒前
繁荣的匪发布了新的文献求助20
5秒前
yuko发布了新的文献求助10
8秒前
星辰大海应助yuan采纳,获得10
8秒前
12秒前
12秒前
我是老大应助Bo采纳,获得10
13秒前
13秒前
wind发布了新的文献求助10
15秒前
bcw完成签到,获得积分20
16秒前
fifteen应助王小头要查文献采纳,获得10
18秒前
19秒前
20秒前
英姑应助杰森斯坦虎采纳,获得10
22秒前
25秒前
不配.应助繁荣的匪采纳,获得20
25秒前
小杜发布了新的文献求助30
27秒前
27秒前
明理的泽洋完成签到,获得积分10
27秒前
司空三毒发布了新的文献求助10
27秒前
wind完成签到,获得积分10
27秒前
西扬发布了新的文献求助10
30秒前
30秒前
一目发布了新的文献求助10
30秒前
31秒前
32秒前
斯文败类应助匀升采纳,获得10
32秒前
33秒前
35秒前
35秒前
kk完成签到,获得积分10
36秒前
37秒前
38秒前
优雅冬灵发布了新的文献求助10
39秒前
红炉一点雪完成签到,获得积分10
39秒前
小蘑菇应助一目采纳,获得10
39秒前
苏西发布了新的文献求助10
40秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Evolution 3rd edition 1500
保险藏宝图 1000
Lire en communiste 1000
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 700
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 700
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3185785
求助须知:如何正确求助?哪些是违规求助? 2836080
关于积分的说明 8007573
捐赠科研通 2498547
什么是DOI,文献DOI怎么找? 1333577
科研通“疑难数据库(出版商)”最低求助积分说明 636881
邀请新用户注册赠送积分活动 604658