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
lvzhengwei发布了新的文献求助10
刚刚
wanci应助artos采纳,获得10
2秒前
Ava应助ChenyuTian采纳,获得10
2秒前
3秒前
高高梦山发布了新的文献求助10
3秒前
JM完成签到,获得积分10
5秒前
李大白完成签到 ,获得积分10
9秒前
10秒前
噜啦啦完成签到,获得积分10
10秒前
马李啸完成签到,获得积分10
12秒前
牛马人生完成签到,获得积分10
14秒前
小草三心发布了新的文献求助10
14秒前
AAA完成签到,获得积分20
14秒前
tyt完成签到 ,获得积分10
17秒前
调研昵称发布了新的文献求助30
22秒前
23秒前
24秒前
沉积岩完成签到,获得积分10
26秒前
26秒前
Jack完成签到,获得积分10
26秒前
湘藜发布了新的文献求助10
27秒前
哈哈哈发布了新的文献求助10
27秒前
烟火还是永恒完成签到,获得积分10
28秒前
高高梦山发布了新的文献求助10
28秒前
28秒前
追寻南珍完成签到,获得积分10
29秒前
30秒前
30秒前
liubaogang发布了新的文献求助10
32秒前
33秒前
我是老大应助奋斗小鸽子采纳,获得10
33秒前
llsdlwy完成签到 ,获得积分10
35秒前
ACS副主编发布了新的文献求助10
36秒前
一包辣条完成签到,获得积分10
38秒前
38秒前
受伤觅风发布了新的文献求助30
41秒前
哈哈发布了新的文献求助10
41秒前
西红柿发布了新的文献求助20
44秒前
44秒前
搞怪羊发布了新的文献求助10
44秒前
高分求助中
Spray / Wall-interaction Modelling by Dimensionless Data Analysis 2000
ALA生合成不全マウスでの糖代謝異常の分子機構解析 520
安全防范技术与工程 500
Mathematics and Finite Element Discretizations of Incompressible Navier—Stokes Flows 500
A real-time energy management strategy based on fuzzy control and ECMS for PHEVs 400
2024 Medicinal Chemistry Reviews 400
Актуализированная стратиграфическая схема триасовых отложений Прикаспийского региона. Объяснительная записка 360
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 3191563
求助须知:如何正确求助?哪些是违规求助? 2840946
关于积分的说明 8030661
捐赠科研通 2504385
什么是DOI,文献DOI怎么找? 1337606
科研通“疑难数据库(出版商)”最低求助积分说明 638159
邀请新用户注册赠送积分活动 606675