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Thinking big with small stories in narrative and identity analysis

Georgakopoulou, Alexandra·2006·Narrative Inquiry

Abstract

Narrative research is frequently described as a rich and diverse enterprise, yet the kinds of narrative data that it bases itself on present a striking consensus: they are autobiographical in kind (i.e., about non-shared, personal experience, single past events). In this paper, I put forth a case for under-represented narrative data which I collectively call (following Bamberg 2004a, b; also Georgakopoulou & Bamberg, 2005) “small stories” (partly literally, partly metaphorically). My aim is to flesh small stories out, to urge for the sort of systematic research that will establish connections between their interactional features and their sites of engagement and finally to consider the implications of their inclusion in narrative research for identity analysis (as the main agenda of much of narrative research). I will thus propose small stories research as a “new” narrative turn that can provide a needed meeting point for narrative analysis and narrative inquiry.

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Metadata

Authors
Georgakopoulou, A.
Venue
Narrative Inquiry
Published
2006-08-29
Volume
16
Issue
1
Pages
122-130
ISSN
  • 1387-6740 (ISSN-L)
  • 1569-9935
OpenAlex
W2070252748
Cited by
659
References
0
FWCI
96.09
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Thinking big with small stories in narrative and identity analysis. https://app.cochat.ai/papers/10.1075/ni.16.1.16geo
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Georgakopoulou, A. (2006). Thinking big with small stories in narrative and identity analysis. Narrative Inquiry. https://doi.org/10.1075/ni.16.1.16geo

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.