Mahjong Gambling in the Chinese-Australian Community in Sydney: A Prevalence Study

Mahjong is a popular gambling game played in Chinese communities all over the world (Papineau, China Perspect 28:29–42, 2000) and is sometimes referred to as ‘国赌’ (guodu, the Chinese national gambling game) or ‘修长城’ (xiu changcheng, repairing the Great Wall). Exploratory studies using snowball sampling conducted by Zheng et al. (J Psychol Chin Soc 9(2):241–262, 2008) indicated that Mahjong is not only a popular pastime within the Sydney Chinese community but also problematic for around 3% of players. The current study aimed to extend earlier studies by estimating the prevalence of Mahjong problem gambling in a random sample of Sydney Chinese community members. In addition, due to first-hand gambling experience of the first author with superstitious Mahjong players, the study also investigated the role of superstitious beliefs in Mahjong gambling. The current study involved a series of self-report questionnaires administered to 469 randomly selected Chinese Australians in Sydney. The problem gambling rate, assessed by the Canadian Problem Gambling Index (CPGI), was 3.8%, with Chinese males and older Chinese prominent. Superstitious beliefs were found to play a part in the maintenance of Mahjong gambling behaviour. Information stemming from the current study has helped gain insight into culturally specific forms of gambling, and to identify correlates of problem gamblers. Funding bodies and counselling services should be aware of the existence of this form of gambling, and should devise appropriate treatment plans for Mahjong problem gamblers.     

Wie gehen wissensintensive Dienstleister mit eigenen Wissenslücken um?

With the conducted Delphi study diverse alternatives could be identified which have been used by Consultants in dealing with their own unawareness. Superior strategies, which controlled the adoption of individual steps and oriented the activities in dealing with unawareness, as well as organisational regulations for dealing with unawareness, were noticeable, which could be adopted depending on the subjective perception and assessment of the present unawareness and its relevance and impacts. The detected strategies ranged from the maintenance and use of unawareness to open communication and elimination of unawareness to total ignorance and the hiding of unawareness. Concerning organisational regulations, on the one hand formal regulations and on the other hand informal regulations could be found.     

Understanding increments in model performance metrics

The area under the receiver operating characteristic curve (AUC) is the most commonly reported measure of discrimination for prediction models with binary outcomes. However, recently it has been criticized for its inability to increase when important risk factors are added to a baseline model with good discrimination. This has led to the claim that the reliance on the AUC as a measure of discrimination may miss important improvements in clinical performance of risk prediction rules derived from a baseline model. In this paper we investigate this claim by relating the AUC to measures of clinical performance based on sensitivity and specificity under the assumption of multivariate normality. The behavior of the AUC is contrasted with that of discrimination slope. We show that unless rules with very good specificity are desired, the change in the AUC does an adequate job as a predictor of the change in measures of clinical performance. However, stronger or more numerous predictors are needed to achieve the same increment in the AUC for baseline models with good versus poor discrimination. When excellent specificity is desired, our results suggest that the discrimination slope might be a better measure of model improvement than AUC. The theoretical results are illustrated using a Framingham Heart Study example of a model for predicting the 10-year incidence of atrial fibrillation.     

Union organizing effort and success in the U.S., 1948–2004

While union density in the public sector has increased in recent decades, private sector union density in the U.S. has declined steadily since the mid-1950s. Scholars have evoked a variety of explanations to account for the decline in union membership, but substantially less attention has been devoted to understanding the contribution of the union organizing process as governed by the National Labor Relations Board (NLRB). In this paper, we focus on two aspects of this process: union organizing effort (the effort to establish union representation elections to organize non-unionized workers) and union organizing success (success in winning union representation elections). Using annual time series data for the U.S. from 1948 to 2004, we show that there has been a long-term decline in both union organizing effort and union organizing success, which likely contributes to declining union density. We focus on three explanations for these changes: the political–legal environment for unions, deindustrialization and globalization, and employer opposition to unionization efforts. We find that each of these factors contributes to organizing effort and success and conclude with a discussion of the implications of this research for future mobilization efforts.     

Reports of Conferences, Institutes, and Seminars

This quarter's column features reports from the 2011 Electronic Resources & Libraries Conference; the 2011 North Carolina Serials Conference; the 2011 Association of College and Research Libraries Conference; the 2011 Kansas Library Association Conference; the New England Technical Services Librarians Section of the New England Library Association Spring 2011 Conference; and the 2011 Texas Library Association Conference.     

An Examination of the Relationship Between Gambling and Antisocial Behavior

Problem gambling is significantly more prevalent in forensic populations than in the general population. Although some previous work suggests that gambling and antisocial behavior are related, the extent and nature of this relationship is unclear. Both gambling and antisocial behavior are forms of risk-taking, and may therefore share common determinants. We investigated whether individual differences in personality traits associated with risk-taking, the Big Five personality traits, and antisocial tendencies predicted gambling and antisocial behavior among 180 male students recruited for a study of gambling (35.0% non-problem gamblers, 36.7% low-risk gamblers, 21.7% problem gamblers, and 6.7% pathological gamblers). All forms of gambling and antisocial behavior were significantly correlated. Personality traits associated with risk-acceptance explained a significant portion of the variance in problem gambling, general gambling involvement, and all forms of antisocial behavior. Antisocial tendencies (aggression and psychopathic tendencies) explained a significant portion of additional variance in severe antisocial behavior but not moderate or minor antisocial behavior. When controlling for personality traits associated with risk-acceptance, the relationship between gambling and antisocial behavior was greatly diminished. The results are consistent with the hypothesis that gambling and antisocial behavior are associated because they are, in part, different manifestations of similar personality traits.     

Non-parametric Estimation of the Residual Distribution

Consider a heteroscedastic regression model Y = m ( X ) +σ( X )ε, where the functions m and σ are "smooth", and ε is independent of X . An estimator of the distribution of ε based on non-parametric regression residuals is proposed and its weak convergence is obtained. Applications to prediction intervals and goodness-of-fit tests are discussed.     

Service robotics: do you know your new companion? Framing an interdisciplinary technology assessment

Service-Robotic—mainly defined as “non-industrial robotics”—is identified as the next economical success story to be expected after robots have been ubiquitously implemented into industrial production lines. Under the heading of service-robotic, we found a widespread area of applications reaching from robotics in agriculture and in the public transportation system to service robots applied in private homes. We propose for our interdisciplinary perspective of technology assessment to take the human user/worker as common focus. In some cases, the user/worker is the effective subject acting by means of and in cooperation with a service robot; in other cases, the user/worker might become a pure object of the respective robotic system, for example, as a patient in a hospital. In this paper, we present a comprehensive interdisciplinary framework, which allows us to scrutinize some of the most relevant applications of service robotics; we propose to combine technical, economical, legal, philosophical/ethical, and psychological perspectives in order to design a thorough and comprehensive expert-based technology assessment. This allows us to understand the potentials as well as the limits and even the threats connected with the ongoing and the planned implementation of service robots into human lifeworld—particularly of those technical systems displaying increasing grades of autonomy.     

THE PHYSICIAN LABOR MARKET IN A MANAGED CARE-DOMINATED ENVIRONMENT

The belief that doctors respond to declining demand by treating patients more aggressively has created skepticism about relying on market forces to restructure physician supply. We argue that even if the physician labor market is dysfunctional under fee-for-service incentives, it can perform better as managed care becomes dominant. Our model implies a nonlinear effect of managed care penetration on incomes. Physicians can offset most or all of initial declines in demand, but cannot insulate themselves indefinitely. This may explain the observation that, until recently, the growth of managed care has not been accompanied by large physician income changes. ( JEL III, J31)