Charting the waves of prevention: two steps forward,one step back

BACKGROUND: Over the past 30 years, the political response to child maltreatment and its prevention in the US has experienced periods of frantic activity, often followed by long periods of benign neglect. In reflecting on this history, Dick Krugman has referred to this uneven level of attention as a series of "waves" in which apparent progress is often minimized by an inability to sustain political commitment to a given reform or course of action. To an extent, this pattern reflects deep differences among child welfare advocates, researchers, and practitioners on how best to proceed. While most everyone agrees that "it shouldn't hurt to be a child," how to prevent this hurt and at what cost is less clear. METHOD: To address this dilemma, prevention advocates, researchers, and practitioners have struggled with a variety of conceptual frameworks and programmatic reforms. This article summarizes the relative gains and limitation of three such efforts and outlines the lessons these efforts offer those formulating future prevention policies and programs. RESULTS: Specifically, the authors suggest that future prevention efforts will need to take care in avoiding some of the most common mistakes experienced by earlier efforts. CONCLUSIONS: These mistakes or pitfalls include oversimplifying the problem of child abuse; overstating preventions' potential and appropriate target populations; failing to establish a significant partnership with child protective services; compromising depth or quality in an effort to maximize breadth or coverage; and failing to fully engage the public.     

Discourse-aware rumour stance classification in social media using sequential classifiers

Rumour stance classification, defined as classifying the stance of specific social media posts into one of supporting, denying, querying or commenting on an earlier post, is becoming of increasing interest to researchers. While most previous work has focused on using individual tweets as classifier inputs, here we report on the performance of sequential classifiers that exploit the discourse features inherent in social media interactions or ‘conversational threads’. Testing the effectiveness of four sequential classifiers – Hawkes Processes, Linear-Chain Conditional Random Fields (Linear CRF), Tree-Structured Conditional Random Fields (Tree CRF) and Long Short Term Memory networks (LSTM) – on eight datasets associated with breaking news stories, and looking at different types of local and contextual features, our work sheds new light on the development of accurate stance classifiers. We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers. Furthermore, we show that LSTM using a reduced set of features can outperform the other sequential classifiers; this performance is consistent across datasets and across types of stances. To conclude, our work also analyses the different features under study, identifying those that best help characterise and distinguish between stances, such as supporting tweets being more likely to be accompanied by evidence than denying tweets. We also set forth a number of directions for future research.     

Academic Integrity and Distance Learning∗

The present study examines research trajectories of 20 academic “stars” relative to scholarship in 20 prominent and 7 elite criminology and criminal justice (CCJ) journals. We employ a modest subset of career concepts (frequency, specialization, seriousness, and co‐offending) to identify divergent pathways open to CCJ professionals as they begin work in academe or subsequently shape more mature careers. Findings suggest that research productivity varies depending on the measure utilized (e.g., type of outlet; weighted or unweighted; standardized or unstandardized). Different measures of central tendency provide different snapshots of institutional output. Publication frequencies are found to be far greater among stars employed at Carnegie Research I institutions. Regarding research type‐mix, the stars tend to be more eclectic than specialized, with indications of a relationship between number of articles published and breadth of topic areas. Future directions for research are also discussed.     

Determinants of undergraduate GPAs: SAT scores, high-school GPA and high-school rank

The primary purpose of the study is to assess the degree to which SAT scores, high-school GPA (HSGPA) and class rank predict success in college. Data collected from students enrolled in several sections of Principles of Economics at the University of South Carolina in 2000 and 2001 are used to study the relation between college GPA (the dependent variable) and high-school rank, HSGPA, and SAT scores (the key independent variables). We also investigate whether there are race–sex differences in the likelihood of success in college. Further, we study the degree to which students with varying backgrounds are likely to be eligible for statewide scholarships and to retain them after enrollment.     

Stopping abuse before it occurs: Different solutions for different population groups

This paper reports on a conference at which participants reviewed indepth the literature on child abuse prevention and child development, as it pertains to different cultural and ethnic population groups, and identifies alternative prevention strategies for these different groups. The efficacy of the following interventions are analyzed: perinatal support programs, education for parents, treatment for abused children, early and periodic childhood screening and treatment programs: social skills training for children and young adults; mutual aid programs and neighborhood support groups; family support services such as crisis care; public information about child abuse and community development activities such as employment assistance. The paper concludes that although treatment services for different groups may be quite similar, prevention strategies must take account of the individual and unique values, norms and socialization patterns of different groups.     

Equity effects of the educational finance act in South Carolina

Equity impacts of school finance reform in South Carolina are analyzed in this paper. The effects of the school finance reform are studied with the aid of 15 different measures of equity, including the coefficient of variation, the McLoone Index, wealth elasticity, and other univariate and bivariate measures. Results indicate considerable equity improvements in South Carolina from 1978 to 1982.     

Native Waters: Integrating Scientific and Cultural Ways of Knowing about Water

Away needs to be found to make young people want to learn the importance of water, before it is too late and our information is lost forever. —Rosebud Sioux elder.