From Words to Numbers: Narrative, Data, and Social Science
Cambridge University Press, 24.05.2004 г. - 476 страници
This book illustrates a set of tools - story grammars, relational data models, and network models - that can be profitably used for the collection, organization, and analysis of narrative data in socio-historical research. A story grammar, or Subject-Action-Object and their modifiers, is the linguistic tool the author uses to structure narrative for the purpose of collecting event data. Relational database models make such complex data collection schemes practically feasible in a computer environment. Finally, network models are a statistical tool best suited to analyze this type of data. Driven by the metaphors of the journal (from ... to) and the alchemy (words into numbers), the book leads the reader throughout a number of paths, from substantive to methodological issues, across time and disciplines: sociology, linguistics, literary criticism, history, statistics, computer science, philosophy, cognitive psychology, political science.
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action actors added approach basic beauty become century Chapter cited coding collection Columbus communication content analysis count critical early emphasis example expression fact Fascists function give given hand historians human individual interest involved issues Italy journey knowledge Land language letter linguistic look meaning measurement metaphor method models narrative nature never newspaper object organization original particular perhaps pilgrims play political position problems production quantitative question reader reason reference relations relationship reported rhetoric role rules scientific scientists semantic sentence Simmel social social sciences sociology sources specific statistical story grammar strike structure Table tells theory things triplet understanding University verbs voyage Weber workers writing wrote