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The Gender Balance Assessment Tool (GBAT): A Web-Based Tool for Estimating Gender Balance in Syllabi and Bibliographies

Published online by Cambridge University Press:  30 January 2018

Jane Lawrence Sumner
Jane Lawrence Sumner*
Affiliation:
University of Minnesota, Twin Cities
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Abstract

This article introduces a web-based tool that scholars can use to assess the gender balance of their syllabi and bibliographies. The citation gap in political science is described briefly as well as why under-citing women relative to men is a problem that should be addressed by the field. The Gender Balance Assessment Tool (GBAT) is presented as a way to make assessing gender balance easier with the aim of remedying the gender gap. This is followed by an outline that explains in nontechnical terms how the tool identifies author names and then predicts their gender to produce a single document-level percentage of women authors. Finally, best practices for diversity in syllabi and bibliographies are discussed, and various public sources that can be used to find scholarly work by women, as well as scholars of color, are listed.

Type
Articles
Information
PS: Political Science & Politics , Volume 51 , Issue 2 , April 2018 , pp. 396 - 400
Copyright
Copyright © American Political Science Association 2018 

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References

REFERENCES

@PoCAlsoKnow. 2016. “PoC Also Know Stuff.” https://twitter.com/pocalsoknow.Google Scholar
Beaulieu, Emily, Boydstun, Amber E., Brown, Nadia E., Dionne, Kim Yi, Gillespie, Andra, Klar, Samara, Krupnikov, Yanna, Michelson, Melissa R., Searles, Kathleen, and Wolbrecht, Christina. 2016. “Women Also Know Stuff.” http://womenalsoknowstuff.com.Google Scholar
Carrell, Scott E., Page, Marianne E., and West, James E.. 2010. “Sex and Science: How Professor Gender Perpetuates the Gender Gap.” Quarterly Journal of Economics 125 (3): 1101–44.Google Scholar
Cassese, Erin C., Bos, Angela L., and Duncan, Lauren E.. 2012. “Integrating Gender into the Political Science Core Curriculum.” PS: Political Science & Politics 45 (2): 238–43.Google Scholar
Colgan, Jeff. 2015. “New Evidence on Gender Bias in IR Syllabi.” Duck of Minerva, August 27. http://duckofminerva.com/2015/08/new-evidence-on-gender-bias-in-ir-syllabi.html.Google Scholar
Khanna, Kabir, and Imai, Kosuke. 2016. “wru: Who Are You? Bayesian Prediction of Racial Category Using Surname and Geolocation.” R Package Version 0.0-2.Google Scholar
Maliniak, Daniel, Powers, Ryan, and Walter, Barbara. 2013. “The Gender Citation Gap in International Relations.” International Organization 67 (4): 889–922.Google Scholar
Mansbridge, Jane. 2013. “Explaining the Gender Gap.” Monkey Cage, September 30. www.washingtonpost.com/news/monkey-cage/wp/2013/09/30/explaining-the-gender-gap/?utm_term=.66531426550f.Google Scholar
Mitchell, Sara McLaughlin, Lange, Samantha, and Brus, Holly. 2013. “Gendered Citation Patterns in International Relations Journals.” International Studies Perspectives 14 (4): 485–92.Google Scholar
Nexon, Daniel. 2013. “The Citation Gap: Results of a Self-Experiment.” Duck of Minerva, August 16. http://duckofminerva.com/2013/08/the-citation-gap-results-of-a-self-experiment.html.Google Scholar
Wais, Kamil. 2015. “genderizeR: Gender Prediction Based on First Names.” R package version 1.2.0.CrossRefGoogle Scholar