The Privileged Normalization of Marijuana Use – an Analysis of Canadian Newspaper Reporting, 1997–2007

The objective of this study was to systematically examine predominant themes within mainstream media reporting about marijuana use in Canada. To ascertain the themes present in major Canadian newspaper reports, a sample (N = 1999) of articles published between 1997 and 2007 was analyzed. Drawing from Manning’s theory of the symbolic framing of drug use within media, it is argued that a discourse of ‘privileged normalization’ informs portrayals of marijuana use and descriptions of the drug’s users. Privileged normalization implies that marijuana use can be acceptable for some people at particular times and places, while its use by those without power and status is routinely vilified and linked to deviant behavior. The privileged normalization of marijuana by the media has important health policy implications in light of continued debate regarding the merits of decriminalization or legalization and the need for public health and harm reduction approaches to illicit drug use

A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments

Despite the increasing automation levels in an Industry 4.0 scenario, the tacit knowledge of highly skilled manufacturing workers remains of strategic importance. Retaining this knowledge by formally capturing it is a challenge for industrial organisations. This paper explores research on automatically capturing this knowledge by using methods from activity recognition and process mining on data obtained from sensorised workers and environments. Activity recognition lifts the abstraction level of sensor data to recognizable activities and process mining methods discover models of process executions. We classify the existing work, which largely neglects the possibility of applying process mining, and derive a taxonomy that identifies challenges and research gaps.A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial EnvironmentsacceptedVersio