人才振兴背景下大学生志愿服务乡村缘由和影响因素分析

志愿服务乡村是社会参与人才振兴战略的重要方式,大学生在其中承担着重要角色。“乡愁文化”和“社会理性”是大学生志愿服务乡村缘由所在;性别、年级、学校类型、了解程度和志愿组织对大学生志愿服务乡村有显著影响。大学生志愿服务的着力点在于智力支持且具有文教活动倾向性,但也存在意愿与行动脱节、认知流于表面、能动性不强、缺乏思想引领以及对小微志愿组织的支持缺位等问题。乡愁文化嵌入大学文化、引入激励机制、打造志愿组织“大家庭”、牢守宣传育人“主阵地”、强化智力支持优势、补齐理论技能短板、关爱“小微组织”成长、构建“三位一体”支撑体系等可有效优化大学生志愿服务乡村。     

Translating cross-lagged effects into incidence rates and risk ratios: The case of psychosocial safety climate and depression

Longitudinal studies are the gold standard of empirical work and stress research whenever experiments are not plausible. Frequently, scales are used to assess risk factors and their consequences, and cross-lagged effects are estimated to determine possible risks. Methods to translate cross-lagged effects into risk ratios to facilitate risk assessment do not yet exist, which creates a divide between psychological and epidemiological work stress research. The aim of the present paper is to demonstrate how cross-lagged effects can be used to assess the risk ratio of different levels of psychosocial safety climate (PSC) in organisations, an important psychosocial risk for the development of depression. We used available longitudinal evidence from the Australian Workplace Barometer (N?=?1905) to estimate cross-lagged effects of PSC on depression. We applied continuous time modelling to obtain time-scalable cross effects. These were further investigated in a 4-year Monte Carlo simulation, which translated them into 4-year incident rates. Incident rates were determined by relying on clinically relevant 2-year periods of depression. We suggest a critical value of PSC?=?26 (corresponding to ?1.4 SD), which is indicative of more than 100% increased incidents of persistent depressive disorder in 4-year periods compared to average levels of PSC across 4 years.     

A New Methodology for Before–After Safety Assessment Using Survival Analysis and Longitudinal Data

The widely used empirical Bayes (EB) and full Bayes (FB) methods for before–after safety assessment are sometimes limited because of the extensive data needs from additional reference sites. To address this issue, this study proposes a novel before–after safety evaluation methodology based on survival analysis and longitudinal data as an alternative to the EB/FB method. A Bayesian survival analysis (SARE) model with a random effect term to address the unobserved heterogeneity across sites is developed. The proposed survival analysis method is validated through a simulation study before its application. Subsequently, the SARE model is developed in a case study to evaluate the safety effectiveness of a recent red‐light‐running photo enforcement program in New Jersey. As demonstrated in the simulation and the case study, the survival analysis can provide valid estimates using only data from treated sites, and thus its results will not be affected by the selection of defective or insufficient reference sites. In addition, the proposed approach can take into account the censored data generated due to the transition from the before period to the after period, which has not been previously explored in the literature. Using individual crashes as units of analysis, survival analysis can incorporate longitudinal covariates such as the traffic volume and weather variation, and thus can explicitly account for the potential temporal heterogeneity.     

Comprehensive neighbourhood mapping: developing a powerful tool for child protection

This paper proposes ‘comprehensive neighbourhood mapping’ as a schema for gathering and interpreting information within a given geographical area which is informed by imaginative thinking about the safety of children and young people from sexual crime. It would build upon current forms of profiling by local authorities, health authorities and central Government. CNM would actively involve local people, in partnership with agencies, in ‘mapping’ danger points and support points. Eight components are discussed, including environmental issues, locations of sex offenders, sites where teenagers meet and share information, supportive individuals and organizations. Some issues for pilot projects are discussed, including the need to set up planning and implementation groups and to integrate CNM into wider child protection and community safety strategies. CNM is grounded in an ecological perspective which sees partnership approaches as essential and believes an overarching view of neighbourhood needs, based on detailed local information and understanding of how different forms of harm interconnect, is crucial in developing child protection strategies. At times of acute official anxiety about community ‘lynch‐mob’ reactions to known paedophiles, CNM aims to build communities which instead are informed and thoughtful about child protection. Copyright © 2002 John Wiley & Sons, Ltd.     

成人高校人才培养模式解析

成人高校目前人才培养与劳动力市场的关系模式,基本上可以归结为“对口”与“适应”两种取向。但是,无论取向何种模式,透过毕业生就业以及就业后的发展实际看,都各有利弊。因此,成人高校在人才培养的取向上,不能单纯追求或固守其中的某一种模式,而应根据社会主义市场经济发展和劳动力市场的需求,建立起多元化、多层次的人才培养模式。     

大学英语课堂教学创新改革实践探索

创新教育是素质教育的一个重要内容 ,课堂教学是实施创新教育的主渠道。如何在英语教学中努力培养学生的创新精神 ,笔者做了一番尝试     

更高层次的迈进——企业相对社会责任的实现

相对社会责任的承担与实现,对企业自身和社会都具有重大意义,但由于缺乏机制的制约和策略的应用,其实现是困难的。正确处理企业利益与社会责任的关系,促使更多企业从履行绝对社会责任,上升到追求更高层次社会责任的实现,一方面需要外在环境的保障,另一方面要求企业在履行社会责任时,注意策略选择。     

城市公众安全文化教育的方法与思路——兼议北京2008“安全奥运文化”普及问题

通过对安全文化发展演变历史的简单回眸,探讨了适用于城市安全减灾的安全文化教育的模式及方法,尤其从文化建设层面上研究了应用安全文化建设方法的特点。作为最现实的应用,还就2008年北京“安全奥运”的系统化建设提出了“安全奥运文化”普及教育的思路。     

关于高校人才队伍建设的思考

人才是人类社会进步的加速器、催化剂和核心力量。人才是一个国家、一所学校发展的决定因素。人才兴则国运昌，人才兴则高校强。人才队伍具有不同类型、不同层次、不同特色的功能结构，并呈现出不同的特征。在高校加强人才队伍建设，提高全员素质的过程中，注重观念的创新与演进是核心，创建学习型组织是活动方式，深化人事制度改革是根本途径，注重德性的养成是根本要求。     

论新时期高等学校人才资源管理

本文通过对新时期高等学校人才资源管理的对象、层次、内容和工作重点的论述 ,揭示了加强高等学校人才资源管理的重要性 ,提出了高校选拔、培养、吸引人才的措施