Young people’s perceptions of power and influence as a basis for understanding contemporary citizenship

Persistent simplistic binary discourses of young people’s citizenship portray them either as civically deficit and disengaged citizens or the creators of new democratic modes and approaches. This paper draws on field research with two groups of young people in Australia to better recognise the nuance of young people’s experiences of citizenship, power and influence. The study investigated the extent to which different groups of young people believe that they have the power to influence society; the ways in which they seek this influence; the current barriers to their influence; and what would enable them to have greater influence. Our analysis in this paper draws on Lukes’ concepts of power [2005. Power: A Radical View. 2nd ed. London: Palgrave Macmillan] and Arvanitakis’ framework of citizenship engagement and empowerment [in Arvanitakis, J., and E. Sidoti. 2011. “The Politics of Change: Where to for Young People and Politics.” In Their Own Hands: Can Young People Change Australia?, edited by L. Walsh and R. Black, 11–20. Melbourne: ACER Press], but also builds on an emerging scholarship concerned with the geographic dimensions of young people’s citizenship engagement and action, as well as with the affective, relational and temporal dimensions of this engagement and action. Our findings suggest that power works in different ways to both constrain and liberate young people as citizens – sometimes at the same time. The paper concludes with an argument for the continuing need to understand young people’s lived and located experiences of engagement, power and influence in more nuanced and sophisticated ways. This includes reframing the discussion about young people’s experiences in terms of the nature of their democratic engagement and action rather than simply their citizenship.     

A Stochastic Goal Program for Employee Scheduling*

Deterministic goal programs for employee scheduling decisions attempt to minimize expected operating costs by assigning the ideal number of employees to each feasible schedule. For each period in the planning horizon, managers must first determine the amount of labor that should be scheduled for duty. These requirements are often established with marginal analysis techniques, which use estimates for incremental labor costs and shortage expenses. Typically, each period in the planning horizon is evaluated as an independent epoch. An implicit assumption is that individual employees can be assigned to schedules with as little as a single period of work. If this assumption violates local work rules, the labor requirements parameters for the deterministic goal program may be suboptimal. As we show in this research, this well-known limitation can lead to costly staffing and scheduling errors. We propose an employee scheduling model that overcomes this limitation by integrating the labor requirements and scheduling decisions. Instead of a single, externally determined staffing goal for each period, the model uses a probability distribution for the quantity of labor required. The model is free to choose an appropriate staffing level for each period, eliminating the need for a separate goal-setting procedure. In most cases this results in better, less costly decisions. In addition, the proposed model easily accommodates both linear and nonlinear under- and overstaffing penalties. We use simple examples to demonstrate many of these advantages and to illustrate the key techniques necessary to implement our model. We also assess its performance in a study of more than 1,700 simulated stochastic employee scheduling problems.     

Engaging with Comparative Risk Appraisals: Public Views on Policy Priorities for Environmental Risk Governance

Communicating the rationale for allocating resources to manage policy priorities and their risks is challenging. Here, we demonstrate that environmental risks have diverse attributes and locales in their effects that may drive disproportionate responses among citizens. When 2,065 survey participants deployed summary information and their own understanding to assess 12 policy‐level environmental risks singularly, their assessment differed from a prior expert assessment. However, participants provided rankings similar to those of experts when these same 12 risks were considered as a group, allowing comparison between the different risks. Following this, when individuals were shown the prior expert assessment of this portfolio, they expressed a moderate level of confidence with the combined expert analysis. These are important findings for the comprehension of policy risks that may be subject to augmentation by climate change, their representation alongside other threats within national risk assessments, and interpretations of agency for public risk management by citizens and others.     

A Bayesian sequential design with binary outcome

Several researchers have proposed solutions to control type I error rate in sequential designs. The use of Bayesian sequential design becomes more common; however, these designs are subject to inflation of the type I error rate. We propose a Bayesian sequential design for binary outcome using an alpha‐spending function to control the overall type I error rate. Algorithms are presented for calculating critical values and power for the proposed designs. We also propose a new stopping rule for futility. Sensitivity analysis is implemented for assessing the effects of varying the parameters of the prior distribution and maximum total sample size on critical values. Alpha‐spending functions are compared using power and actual sample size through simulations. Further simulations show that, when total sample size is fixed, the proposed design has greater power than the traditional Bayesian sequential design, which sets equal stopping bounds at all interim analyses. We also find that the proposed design with the new stopping for futility rule results in greater power and can stop earlier with a smaller actual sample size, compared with the traditional stopping rule for futility when all other conditions are held constant. Finally, we apply the proposed method to a real data set and compare the results with traditional designs.     

The Methuselah Effect: The Pernicious Impact of Unreported Deaths on Old-Age Mortality Estimates

We examine inferences about old-age mortality that arise when researchers use survey data matched to death records. We show that even small rates of failure to match respondents can lead to substantial bias in the measurement of mortality rates at older ages. This type of measurement error is consequential for three strands in the demographic literature: (1) the deceleration in mortality rates at old ages; (2) the black-white mortality crossover; and (3) the relatively low rate of old-age mortality among Hispanics, often called the “Hispanic paradox.” Using the National Longitudinal Survey of Older Men matched to death records in both the U.S. Vital Statistics system and the Social Security Death Index, we demonstrate that even small rates of missing mortality matching plausibly lead to an appearance of mortality deceleration when none exists and can generate a spurious black-white mortality crossover. We confirm these findings using data from the National Health Interview Survey matched to the U.S. Vital Statistics system, a data set known as the “gold standard” (Cowper et al. 2002) for estimating age-specific mortality. Moreover, with these data, we show that the Hispanic paradox is also plausibly explained by a similar undercount.     

Responding to teen dating violence: Perspectives from mothers who have been abused and seeking services in domestic violence shelters

ABSTRACT

Teen dating violence (TDV) is a significant public health problem, but we know little about how mothers who have been abused respond to TDV. This article analyzes qualitative data from three focus groups conducted with 17 mothers who had experienced abuse. Mothers responded to four hypothetical scenarios of their child reporting TDV to them. Mothers reported that their approach to children’s reports of TDV would entail engaging in varying levels of authoritarianism, considering the gender of the child, and exercising caution in their responses. In response to the scenarios, mothers stated that they would ask questions, educate their teens, contact the perpetrator and/or parents, share their own experiences, and call for outside help. The study’s findings may assist prevention educators working with mothers who experienced abuse in responding to their children’s disclosures of incidents of TDV.     

Personality profiles of factitious disorder imposed by mothers: A comparative analysis

Factitious Disorder Imposed by Another (FDIA) can be difficult to expeditiously identify. Understanding personality characteristics of FDIA perpetrators via psychological assessment may decrease the time between initial abuse and identification of FDIA. Personality characteristics of FDIA mother-perpetrators were examined through a comparative analysis of MMPI-2 profiles. It was predicted that mother-perpetrators would have significantly higher overall profile elevations on the MMPI-2 and elevations on specific clinical scales than a comparative control group. Results indicated that mother-perpetrators displayed significantly higher, elevations on the Psychasthenia (Pt) and Schizophrenia (Sc) scales and a trend toward significantly higher elevation on the Psychopathic Deviate (Pd) scale than the control group. These findings, along with the demographic information obtained, establish a preliminary foundation for understanding an overall profile of mother-perpetrators.     

新奥尔良的发展:一部环境灾难史

2005年,卡特里娜和丽塔两大飓风侵袭路易斯安那州的新奥尔良市,成为美国历史上造成损失最大的灾难之一。这一貌似自然灾害的危害事件,其实孕育于新奥尔良的长期发展之中。一部新奥尔良发展史,既是人类利用土地、河流、森林、海洋等自然实体并与自然环境搏斗以建立城市、发展航运和工商业的历史,也是这些自然实体及其哺育的众多生命不断受侵蚀以至戕害的历史。这既是一部人类文明史,也是一部环境灾难史。在这里,人类借助水利工程控制自然而建立起来的文明,由于损害了生态系统的健康,削弱了其自然防护能力,结果反而加剧了人类无法避免的自然灾害的危害。因此,飓风造成的损失不只是取决于风暴之力,也取决于人们对土地的所作所为。而保持新奥尔良生机的努力,并不需要一味地与自然相搏,与自然合作,也是一种有益的尝试。     

MARKET STRUCTURE AND MEDIA DIVERSITY

We estimate a mixed logit model of the demand for local news service. Results provide evidence that suggest the representative consumer values more diverse news, more coverage of multicultural issues, and more information on community news, and has a distaste for advertising. Demand estimates are used to calculate the impact on consumer welfare from a marginal decrease in the number of independent television stations that lowers the amount of diversity, multiculturalism, community news, and advertising. Consumer welfare decreases, but the losses are smaller in large markets. For example, small‐market consumers lose $45 million annually while large‐market consumers lose $13 million. (JEL C9, C25, L13, L82, L96)