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
小孙完成签到,获得积分10
刚刚
所所应助gg采纳,获得10
刚刚
天天完成签到,获得积分10
刚刚
刚刚
1秒前
Ava应助邓医生采纳,获得10
1秒前
dawn发布了新的文献求助10
1秒前
小二郎应助apple810采纳,获得10
1秒前
漫天繁星完成签到,获得积分10
2秒前
陈淑玲完成签到,获得积分10
2秒前
2秒前
魏巍完成签到,获得积分10
2秒前
mzp发布了新的文献求助10
3秒前
3秒前
3秒前
可耐的冰萍完成签到,获得积分10
4秒前
研友_8KX15L发布了新的文献求助30
4秒前
科研狂徒完成签到,获得积分20
4秒前
美好的问枫完成签到,获得积分10
4秒前
刘梦杰应助友好凌柏采纳,获得10
4秒前
宋宇完成签到,获得积分10
5秒前
6秒前
6秒前
X_nating发布了新的文献求助10
6秒前
Ava应助于一九采纳,获得30
6秒前
清爽外套完成签到 ,获得积分10
6秒前
7秒前
afewuseful完成签到 ,获得积分10
8秒前
等等发布了新的文献求助10
8秒前
Shea完成签到,获得积分20
9秒前
Jasper应助红发采纳,获得10
9秒前
10秒前
大安吉应助ACTWILD采纳,获得10
10秒前
现代的诗槐应助dawn采纳,获得10
11秒前
林zp发布了新的文献求助10
12秒前
昊康好完成签到,获得积分10
12秒前
城南发布了新的文献求助10
12秒前
坚强的广山应助尽如采纳,获得100
13秒前
13秒前
hzhniubility完成签到,获得积分10
15秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
Femoral insertion of the ACL. Radiographic quadrant method 1000
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
2024 Medicinal Chemistry Reviews 400
Dictionary of socialism 350
Geochemistry, 2nd Edition 地球化学经典教科书第二版 300
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 3194422
求助须知:如何正确求助?哪些是违规求助? 2843312
关于积分的说明 8044383
捐赠科研通 2507772
什么是DOI,文献DOI怎么找? 1340072
科研通“疑难数据库(出版商)”最低求助积分说明 638885
邀请新用户注册赠送积分活动 607764