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Studying Issue (Non)-Adoption in Transnational Advocacy Networks

Published online by Cambridge University Press:  26 July 2007

R. Charli Carpenter
Affiliation:
University of Pittsburgh's Graduate School of Public and International Affairs, charli.carpenter@gmail.com

Abstract

Why do some issues but not others galvanize transnational advocacy networks? To gain insight into this question, I studied how advocates in the human rights sector think and talk about an issue that has received little advocacy attention to date: stigma against children born of wartime rape. Focus groups with humanitarian practitioners were coded and analyzed for evidence of a variety of explanations for issue adoption drawn from the literature on advocacy networks. The analysis suggests that the conditions for issue adoption are constituted by dynamics across, rather than primarily within, issue networks.This project was supported by National Science Foundation Grant No. SES 0432488 and by a Hewlett Research Grant from University of Pittsburgh's University Center for International Studies. I am deeply indebted to Stuart Shulman and University of Pittsburgh's Qualitative Data Analysis Program for assistance with Atlas.ti software, and to Laurel Person, Abbie Zahler, Betcy Jose-Thota, Vanja Lundell, Rachel Helwig, and Justin Reed for assistance in coding and data analysis. Vera Achvarina, Lisa Alfredson, David Bearce, Clifford Bob, Daniel Chong, Jack Donnelly, Michael Goodhart, John Mendeloff, Joel Oestreich, Simon Reich, Stephen Rothman, Ben Rubin, Nita Rudra, Laura Sjoberg, Dan Thomas, and participants in Yale University's Genocide Studies Seminar Series provided helpful feedback on earlier drafts. I am solely responsible for any remaining errors.

Information

Type
RESEARCH NOTE
Copyright
© 2007 The IO Foundation
Figure 0

Organizations participating in focus groups

Figure 1

“Children and armed conflict” network as rendered by IssueCrawler, using top five Google hits as starting points

Figure 2

“Women and armed conflict” network as rendered by IssueCrawler, using top five Google hits as starting points

Figure 3

Frequency distribution: Vulnerabilities specific to children of rape

Figure 4

Frequency distribution: All issue-specific references

Figure 5

Frequency of substantive themes in text

Figure 6

Frequency of discursive properties in text

Figure 7

Vulnerabilities specific to mother

Figure 8

Codes co-occurring with “issue linkage”

Figure 9

Inter-rater reliability scores