Ramadan Blues: Debates in Popular Islam during Ramadan in Amman,Jordan

Within the context of the contemporary Middle East and the post‐Islamic Resurgence, avoiding music has become associated with a rise in religiosity and normative Islam. As a result, residents of Amman, Jordan actively avoid consuming music during Ramadan. A large‐scale survey and ethnographic data, including participant observation with employees in an Islamic bank, confirm that avoiding music is a public ethic of Ramadan that is temporally specific and in wide use during the month. In this article, I argue that the tensions surrounding the debates of music's compatibility with normative Islam are enacted in terms of a conflict between cultural and Islamic authenticities. These tensions are resolved temporarily during Ramadan through altered consumption in which one ethical, “Islamic” framework that regards music as haram, or “forbidden,” eclipses another, more diverse “cultural” framework, and does so largely without inducing crisis or controversy. This is because the two realms are not articulating with each other; rather, claims of a normative Islamic authenticity overwhelm the possibilities for a more diverse cultural authenticity. Outside of Ramadan, however, these two competing authenticities often spark tensions and conflicts between family members, neighbors, and coworkers. This article concludes by exploring the implications of ordering morality for religious life in this assertive, even illiberal fashion for diversity in belief and practice.     

A Bayesian Updating Applied to Earthquake Ground-Motion Prediction Equations for Iran

This article presents new ground-motion prediction equations for three distinct seismic regions of Iran via updating the previous global model using observed data for each region by means of Bayesian updating. The Bayesian theory has the advantage that it results in more accurate results even in situations when little data is available. This leads the way for updating global models to obtain new local models for seismotectonic regions with little available data like Iran. The proposed updated model was compared against currently available models for Iran and the results reveal the overall stability and quality performance of the proposed model.