Contested narratives: Theoretical foundations for a predictive model of policy content

Raul Antonio Medellin, University of Texas at El Paso

Abstract

This work introduces a model to analyze policy making as an iterative narrative contestation process from which policy content can be forecasted. A theoretical foundation for the validity of introducing the Contested Narratives Forecast Model (CNF) as a new theoretical model for policy analysis is established using Lakatos' Methodology of Scientific Research Programs (MSRP). Next, an argument is made that the theoretical frameworks on which the CNF is based are not only ontologically compatible, but they also complement each other to neutralize some of their greatest weaknesses. Finally, the CNF is described using Lakatos' concepts of a negative heuristic, a protective belt, and a positive heuristic.

Subject Area

Education Policy|Public policy

Recommended Citation

Medellin, Raul Antonio, "Contested narratives: Theoretical foundations for a predictive model of policy content" (2014). ETD Collection for University of Texas, El Paso. AAI3624308.
https://scholarworks.utep.edu/dissertations/AAI3624308

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