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               <dc:title>Revisiting North-South Disparities in Naming Practices: An Extension and Update</dc:title>
               <dc:creator>Castro Torres, Andrés Felipe</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Recursos generals::Estadístiques</dc:subject>
               <dc:subject>Science and technology studies</dc:subject>
               <dc:subject>Global inequalities in knowledge production</dc:subject>
               <dc:subject>Eurocentrism</dc:subject>
               <dc:subject>Naming practices</dc:subject>
               <dc:description>This research note presents evidence of persistent disparities in naming practices in social science research between the global North and South from 1960 to the present. The analysis relied on bibliometric records of 11.9 million articles sourced from the OpenAlex collection. By covering the 1960–2024 period and including six social science and humanities subdisciplines—Economic, Geography, History, Political Sciences, Psychology, and Sociology—this study replicates and expands an existing study that used Scopus data (0.5 million articles). Results show that scientific articles about global North countries and populations are systematically less likely to mention the country name in their titles compared to global South. For example, compared to the US, articles about China are between 1.8 and 2.7 times more likely to include the country name in the title. Significant variations across subdisciplines are observed, with Psychology displaying the lowest localization rates and greatest geographical gaps, and History showing seemingly converging trends over time across geographies. Continued research is needed to warrant diversity and inclusivity in social science research. A country-year dataset with country-mention counts in titles and abstracts is made available.</dc:description>
               <dc:description>Funding&#xd;
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Generalitat de Catalunya, Computational Social Sciences and Humanities programme at the Barcelona SupercomputingCenter.</dc:description>
               <dc:description>Peer Reviewed</dc:description>
               <dc:description>Postprint (author's final draft)</dc:description>
               <dc:date>2024-11-06</dc:date>
               <dc:type>Article</dc:type>
               <dc:relation>https://journals.sagepub.com/doi/abs/10.1177/23294965241297932</dc:relation>
               <dc:relation>A country-level dataset (667,484 rows and nine columns) with counts of country mentions in titles (r_dtitle) and abstracts (r_dabstr), and the localization rate (loc_rate) by all independent variables, the United Nations Sustainable Goals regions including the top three countries, and the six sub disciplines is available at: https://osf.io/vtu6m/.</dc:relation>
               <dc:rights>http://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
               <dc:rights>Open Access</dc:rights>
               <dc:rights>Attribution-NonCommercial-NoDerivatives 4.0 International</dc:rights>
               <dc:publisher>SAGE Publications</dc:publisher>
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