Guerrilla selfhood: imagining young people's entrepreneurial futures

In this paper, we argue that complex forms of selfhood emerge in relation to rapid economic and social changes unfolding in the early stages of the twenty-first century. We draw on literature that explores youth at risk, entrepreneurial selfhood and neoliberalism to argue that young people are developing modes of transition that allow them to acclimatise to economic and social insecurity. It is an insecurity borne of a paradoxical reliance on, and failure of, neoliberal forms of economics and society. In the context of a post-Global Financial Crisis (post-GFC) world, we explore how young people take responsibility for their uncertain futures. Via our critique of how young people are supposed to manage their lives from education to employment, we argue that a form of selfhood emerges as they are challenged by limited education and employment opportunities. We call this selfhood the guerrilla self. We use this term to designate types of identity that require participation through resistance, institutionalisation through the appearance of not being institutionalised, and individualism in the midst of a failure of individualism. In making this case, we draw on stories told by young people in the USA planning for a future in a post-GFC world.     

Perceptions of Risk and Vulnerability Following Exposure to a Major Natural Disaster: The Calgary Flood of 2013

Many studies have examined the general public's flood risk perceptions in the aftermath of local and regional flooding. However, relatively few studies have focused on large‐scale events that affect tens of thousands of people within an urban center. Similarly, in spite of previous research on flood risks, unresolved questions persist regarding the variables that might influence perceptions of risk and vulnerability, along with management preferences. In light of the opportunities presented by these knowledge gaps, the research reported here examined public perceptions of flood risk and vulnerability, and management preferences, within the city of Calgary in the aftermath of extensive flooding in 2013. Our findings, which come from an online survey of residents, reveal that direct experience with flooding is not a differentiating factor for risk perceptions when comparing evacuees with nonevacuees who might all experience future risks. However, we do find that judgments about vulnerability—as a function of how people perceive physical distance—do differ according to one's evacuation experience. Our results also indicate that concern about climate change is an important predictor of flood risk perceptions, as is trust in government risk managers. In terms of mitigation preferences, our results reveal differences in support for large infrastructure projects based on whether respondents feel they might actually benefit from them.     

Estimating ordered quantiles of two exponential populations with a common minimum guarantee time

The problem of estimating ordered quantiles of two exponential populations is considered, assuming equality of location parameters (minimum guarantee times), using the quadratic loss function. Under order restrictions, we propose new estimators which are the isotonized version of the MLEs, call it, restricted MLE. A sufficient condition for improving equivariant estimators is derived under order restrictions on the quantiles. Consequently, estimators improving upon the old estimators have been derived. A detailed numerical study has been done to evaluate the performance of proposed estimators using the Monte-Carlo simulation method and recommendations have been made for the use of the estimators.     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.     

Bayesian approach to epsilon-skew-normal family

The estimation problem of epsilon-skew-normal (ESN) distribution parameters is considered within Bayesian approaches. This family of distributions contains the normal distribution, can be used for analyzing the asymmetric and near-normal data. Bayesian estimates under informative and non informative Jeffreys prior distributions are obtained and performances of ESN family and these estimates are shown via a simulation study. A real data set is also used to illustrate the ideas.     

Interactive Hazards Education Program for Youth in a Low SES Community: A Quasi‐Experimental Pilot Study

A pilot study of an interactive hazards education program was carried out in Canberra (Australia), with direct input from youth participants. Effects were evaluated in relation to youths’ interest in disasters, motivation to prepare, risk awareness, knowledge indicators, perceived preparedness levels, planning and practice for emergencies, and fear and anxiety indicators. Parents also provided ratings, including of actual home‐based preparedness activities. Using a single group pretest‐posttest with benchmarking design, a sample of 20 youths and their parents from a low SES community participated. Findings indicated beneficial changes on a number of indicators. Preparedness indicators increased significantly from pre‐ to posttest on both youth (p < 0.01) and parent ratings (p < 0.01). Parent ratings reflected an increase of just under six home‐based preparedness activities. Youth knowledge about disaster mitigation also was seen to increase significantly (p < 0.001), increasing 39% from pretest levels. While personalized risk perceptions significantly increased (p < 0.01), anxiety and worry levels were seen either not to change (generalized anxiety, p > 0.05) or to reduce between pre‐ and posttest (hazards‐specific fears, worry, and distress, ps ranged from p < 0.05 to < 0.001). In terms of predictors of preparedness, a number of variables were found to predict posttest preparedness levels, including information searching done by participants between education sessions. These pilot findings are the first to reflect quasi‐experimental outcomes for a youth hazards education program carried out in a setting other than a school that focused on a sample of youth from a low SES community.     

禽流感风险、多元化经营与中国养禽户家庭生计研究

现有研究普遍认为禽流感的发生会对养禽户家庭生计造成严重负向冲击,而统计数据显示禽流感发生之后养禽户家禽收入显著下降,但家庭收入仍呈上升趋势。 基于农村固定观察点 2 520 个养禽户 2004—2012 年家禽养殖跟踪数据,本文采用固定效应模型,分析禽流感冲击下养禽户家庭生计变化,探讨禽流感、多元化经营与中国养禽农户家庭生计之间的关系。 结果表明,禽流感的爆发确实对家禽养殖农户生计造成了巨大的冲击,但多元化经营可以削弱禽流感对养禽户家庭经营收入的负向影响,且相比于种植业,养禽户更倾向于通过增加畜牧业投入和非农就业投入来避免禽流感造成的家庭经营收入波动。 我国现有禽流感补偿政策仅按照扑杀数量发放,为制定更为精准的扑杀补偿标准和灾后扶持政策,应关注禽流感对养禽户生计冲击的农户异质性,充分考虑养禽户多元化经营状况,扩大政策关注范围,正确引导农户进行兼业经营。     

A discrete-time risk model with Poisson ARCH claim-number process

Abstract

In this paper, we propose a discrete-time risk model with the claim number following an integer-valued autoregressive conditional heteroscedasticity (ARCH) process with Poisson deviates. In this model, the current claim number depends on the previous observations. Within this framework, the equation for finding the adjustment coefficient is derived. Numerical studies are also carried out to examine the impact of the Poisson ARCH dependence structure on the ruin probability.     

风险刑法理论研究中的错位与检讨

社会风险不能等同于刑法危险，但二者存在动态交叉关系，社会风险可以通过刑事政策转变为刑法中的危险。风险刑法首先是现代刑法应对风险过程中"自觉"的结果，是现代刑法体系的同质组成部分。从贝克划分社会形态的时间考虑，我国早已进入风险社会，且是全面而非局部风险社会。我国社会主要矛盾的转变使我国社会风险在质上表现为严重危害公共安全和公共利益，在量上表现为风险的相对增多，从刑法的应对上来看，似乎只能选择刑法提前介入。风险刑法理论的中国展开应该从实然和应然两个层面出发，前者旨在突出风险刑法的教义学研究，后者需要从社会风险自身的特点出发，有针对性地调整刑法体系，以期防控风险、创造安全。