Distress Tolerance among Students Referred for Treatment Following Violation of Campus Cannabis Use Policy: Relations to Use, Problems, and Motivation

Students referred to treatment after violating campus drug policies represent a high-risk group. Identification of factors related to these students’ cannabis use could inform prevention and treatment efforts. Distress tolerance (DT) is negatively related to substance-related behaviors and may be related to high-risk cannabis use vulnerability factors that can impact treatment outcome. Thus, the current study tested whether DT was related to cannabis use frequency, cannabis-related problems, and motivation to change cannabis use among 88 students referred for treatment after violating campus cannabis policies. DT was robustly, negatively related to cannabis use and related problems. DT was also significantly, negatively correlated with coping, conformity, and expansion motives. DT was directly and indirectly related to cannabis problems via coping (not conformity or expansion) motives. Motives did not mediate the relation of DT to cannabis use frequency. DT may be an important target in treatment with students who violate campus cannabis policies.

Killing animals: sociology, species relations and institutionalized violence

Influential voices have argued for a sociology which acknowledges the way we are co-constituted with a range of non-human species as part of the condition of life on this planet. Despite this, sociology has generally retained a conception of the social that is centred on the human. This paper argues for the inclusion of non-human animals in sociological agendas, focusing on the emerging field of the sociology of violence. It examines the institutions and processes through which non-human animals are subjected to different forms of violence, most notably, mass killing.The practice of killing animals is routine,normative,institutionalized and globalized.The scale of killing is historically unprecedented and the numbers killed are enormous. The paper argues that this killing of non-humans raises questions around inequal- ities and intersectionality, human relations with other species, the embedding of violence in everyday practices and links between micro and macro analyses. These are questions with which the new sociology of violence might engage.

Uncovering Dependence Clusters and Linchpin Functions

Dependence clusters are (maximal) collections of mutually dependent source code entities according to some dependence relation. Their presence in software complicates many maintenance activities including testing, refactoring, and feature extraction. Despite several studies finding them common in production code, their formation, identification, and overall structure are not well understood, partly because of challenges in approximating true dependences between program entities. Previous research has considered two approximate dependence relations: a fine-grained statement-level relation using control and data dependences from a program’s System Dependence Graph and a coarser relation based on function-level controlflow reachability. In principal, the first is more expensive and more precise than the second. Using a collection of twenty programs, we present an empirical investigation of the clusters identified by these two approaches. In support of the analysis, we consider hybrid cluster types that works at the coarser function-level but is based on the higher-precision statement-level dependences. The three types of clusters are compared based on their slice sets using two clustering metrics. We also perform extensive analysis of the programs to identify linchpin functions – functions primarily responsible for holding a cluster together. Results include evidence that the less expensive, coarser approaches can often be used as e�ective proxies for the more expensive, finer-grained approaches. Finally, the linchpin analysis shows that linchpin functions can be e�ectively and automatically identified.