Blurring the distinction between the researcher and the researched: Doing Collective Memory-Work online in Covid times

Author:

Corcoran Mary P.1ORCID,Hamm Robert2,Weiner Ruairí3ORCID

Affiliation:

1. Professor of Sociology, Maynooth University

2. Independent Scholar

3. School of Social Work and Social Policy, University of Dublin, Trinity College

Abstract

Collective-Memory Work (CMW) is a method of research and learning that relies on a group working together on a topic of shared interest. It aligns with other qualitative approaches such as participatory and feminist research methods, collaborative auto-ethnography, narrative inquiry, and emancipatory adult learning. In CMW participants write short stories from their own memory on a theme agreed in advance. The stories are subsequently scrutinized by the group via detailed textual analysis and recursive discussion. Due to COVID restrictions in 2020, a planned CMW workshop at an Irish higher education institution had to be delivered online. The purpose of this case study is two-fold: first it provides an overview of the CMW approach and how it is implemented in practice, detailing the concrete activities carried out in the workshop. Second, the case study provides insight into running a workshop of this kind online, and the perceived benefits identified by participants of adopting such an approach. We argue that CMW generates an egalitarian group dynamic, encourages active listening, and enables the co-creation of textual analysis in a spirit of collectivity and mutual respect. We suggest that CMW is a versatile method that can be usefully deployed within and beyond academic settings.

Publisher

SAGE Publications

Subject

General Social Sciences

Reference29 articles.

1. Blumer H (2002) Symbolic interactionism. In: Calhoun C, Gertis J, Moody J, Pfaff S, Virk I (eds) Contemporary Sociological Theory. Oxford: Blackwell. pp. 66–77.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3