Machine Learning Methodologies: Digital Humanities

By Luke Barnesmoore, Joy Donoso, Sophie Clavier and Laurent El Ghaoui.

Published by The International Journal of Critical Cultural Studies

Format Price
Article: Print $US10.00
Published online: June 9, 2015 $US5.00

The purpose of this paper is to extend the UC Berkeley Statnews.org research program into the study of religion. Through synthesis of a precise semantic analysis conducted with the Statnews.org machine learning software and Barnesmoore’s History of Assemblages knowledge generation model, we present a mixed method approach for analysis of the relationship between causal discursive materials (in this case religious texts), ontological assumptions and epistemic mechanisms embedded in these discursive materials and norms of thought, behavior and being in societies socialized by analyzed texts. In so doing, we present a history of the dominant forms (ontological assumptions and epistemic mechanisms) embedded in the religious scriptures that have structured normative cognitive environments in the west. In so doing we hope to provide a point of entry for outlining the cognitive context in which forms manifest in the western world for future applications of the History of Assemblages methodology.

Keywords: Machine Learning Methodologies, History of Assemblages, Discourse Analysis

The International Journal of Critical Cultural Studies, Volume 13, Issue 2, June 2015, pp.13-25. Article: Print (Spiral Bound). Published online: June 9, 2015 (Article: Electronic (PDF File; 484.688KB)).

Luke Barnesmoore

Research Assistant, International Relations, San Francisco State University, San Francisco, CA, USA

Joy Donoso

Graduate Teaching Assistant, Department of Philosophy, San Francisco State University, San Francisco, CA, USA

Sophie Clavier

Professor, Chair, Department of International Relations, San Francisco State University, San Francisco, CA, USA

Dr. Laurent El Ghaoui

Professor, Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, California, USA