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Cited by 184

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

‘The Revolution will be Led by a 12-Year-Old Girl’: Girl Power and Global Biopolitics

Koffman, Ofra, Gill, Rosalind·2013·Feminist Review

Abstract

This paper presents a poststructuralist, postcolonial and feminist interrogation of the ‘Girl Effect’. First coined by Nike inc, the ‘Girl Effect’ has become a key development discourse taken up by a wide range of governmental organisations, charities and nongovernmental organisations (NGOs). At its heart is the idea that ‘girl power’ is the best way to lift the developing world out of poverty. As well as a policy discourse, the Girl Effect entails an address to Western girls. Through a range of online and offline publicity campaigns, Western girls are invited to take up the cause of girls in the developing world and to lend their support through their use of social media, through fundraising and consumption. Drawing on a wide range of policy documents, media outputs and offline events, this paper explores the way in which the Girl Effect discourse articulates notions of girlhood, empowerment, development and the Global North/South divide.

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Crossref · 10.1057/fr.2013.16

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Metadata

Authors
Koffman, O., & Gill, R.
Venue
Feminist Review
Published
2013-11
Volume
105
Issue
1
Pages
83-102
ISSN
  • 0141-7789 (ISSN-L)
  • 1466-4380
OpenAlex
W2066412864
Cited by
184
References
2
FWCI
35.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ‘The Revolution will be Led by a 12-Year-Old Girl’: Girl Power and Global Biopolitics. https://app.cochat.ai/papers/10.1057/fr.2013.16
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Koffman, O., & Gill, R. (2013). ‘The Revolution will be Led by a 12-Year-Old Girl’: Girl Power and Global Biopolitics. Feminist Review. https://doi.org/10.1057/fr.2013.16

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.