The Origins and Legacy of a Currency Board in Argentina

This is a qualitative case study of the adoption of a currency board in Argentina in 1991. It presents a discursive analysis and intellectual history of four overlaying and mutually influencing stories of Convertibility’s adoption. It is (1) the story of how Menem aligned himself to the Washington Consensus as a means to win a Presidential election. This ideological alignment influences and is influenced by a (2) reconstitution of the Peronist Party’s historically entrenched identity. This in turn re-fashion the whole system of interest articulation and relative power of interest groups in Argentina. The adoption of a currency board also marks the pace of (3) the entrenchment neoliberal interests across a domestic network of neoliberal think-tanks, technocrats, politicians, and “technopoles” articulating neoliberal interests outside of the Washington Consensus, within an International Neoliberal Network. Argentina’s adoption of a currency board falls in line with the Corner Solutions, a neoliberal doctrine promoted to influence developing countries to adopt two forms of exchange rate regimes that allow for less government involvement, including a currency board. Argentina starts as a test country and then becomes (4) an ideological stepping stone to help promote the creation of currency boards across more “developing” countries. These stories are not sequential but concurrent, and they help advance an alternative critique of neoliberalism that focuses on specifics to induce case-specific lessons versus a theory claiming to provide any universal truth.

Developing Quantitative Methodologies for the Digital Humanities: A Case Study of 20th Century American Commentary on Russian Literature

Using scientific methods in the humanities is at the forefront of objective literary analysis. However, processing big data is particularly complex when the subject matter is qualitative rather than numerical. Large volumes of text require specialized tools to produce quantifiable data from ideas and sentiments. Our team researched the extent to which tools such as Weka and MALLET can test hypotheses about qualitative information. We examined the claim that literary commentary exists within political environments and used US periodical articles concerning Russian literature in the early twentieth century as a case study. These tools generated useful quantitative data that allowed us to run stepwise binary logistic regressions. These statistical tests allowed for time series experiments using sea change and emergency models of history, as well as classification experiments with regard to author characteristics, social issues, and sentiment expressed. Both types of experiments supported our claim with varying degrees, but more importantly served as a definitive demonstration that digitally enhanced quantitative forms of analysis can apply to qualitative data. Our findings set the foundation for further experiments in the emerging field of digital humanities.