1980-2018年国外休闲动机研究进展

以“Web of Science核心合集”中1980—2018年共计931篇文献为样本，借助CiteSpace信息可视化软件及内容分析法，对国外休闲动机研究文献进行全面分析。研究结果表明，国外休闲动机研究分为起步探索（1980—2002年）和快速发展（2003—2018年）两个阶段；早期学者侧重休闲动机概念、理论、分类、量表等研究探索，21世纪以来，理论与实证、定量与定性分析相结合研究日益增多，研究内容更为丰富，主要包括不同群体休闲动机类型、行为特征及影响因素；休闲动机与休闲活动意向；休闲动机与休闲制约、休闲制约协商及休闲参与；休闲动机与休闲涉入；休闲动机与休闲满意度等影响关系及影响机制等；注重人文情怀，研究群体广泛，研究对象从青少年、大学生、高中生、旅游者、男性、职业女性、公园志愿者、自由露营者、远足者等普通群体转向老年人、家庭妇女、残障人士、儿童、疾病患者等社会弱势群体和特殊人群；休闲动机的跨文化研究成果也日渐增多。国外休闲动机研究成果对构建我国休闲动机研究理论及实践应用具有参考和借鉴价值。     

我国旧志数字化的探索与思考

本文简要介绍了我国已有的旧志数字化主要项目,分析了当前旧志数字化中出现的重复建设、家底不清及技术等相关问题,认为对旧志数字化应该坚持科学谨慎的原则,统筹规划、分工协作。     

主观感知的城市环境对居民健康的影响研究——基于全国60个县市的大样本调查

在“健康中国”战略推进和健康城市建设背景下，关注城市建成环境对公共健康影响的研究日益增加。目前相关研究主要纳入了客观测量的城市环境变量，而主观感知的城市环境变量能够体现出客观测量的城市环境变量难以捕捉的健康影响效应，具体作用有待深入探究。本研究建立了个体、社区和城市三个层面的分析框架，基于中国社会科学院社会发展战略研究院于2016年开展的“社会态度与社会发展状况”全国大样本问卷调研数据，探究主观感知的城市物质环境和服务环境对居民自评健康的影响作用并识别显著影响要素。研究发现：感知的城市环境对居民自评健康具有显著影响，其中居民对城市绿化、基础设施状况、住房保障和医疗服务的感知是影响自评健康较为主要的环境感知因素。最后本研究基于定量分析结果讨论对健康城市评价和研究的启示，推动健康城市的发展。     

Inequality and attitudes toward immigration: the native-immigrant gap in Australia

ABSTRACT

How does local economic inequality affect the native-immigrant gap in immigration attitudes? Existing studies do not distinguish between native and immigrant citizens, which is problematic because immigrants represent an increasing share of the population and voting public. Immigrant citizens, as legal residents, receive the same legal and social protections as native citizens. However, as an out-group, they are less likely to be attached to the national and cultural identity of a host country. This paper uses the Australian Election Study to show that immigrant citizens prioritise cultural or psychological considerations in forming immigration attitudes. As local economic inequality rises, immigrant citizens’ support for immigration strengthens regardless of their country of origin, reason for migration and length of stay in Australia.     

实事求是与制度建设

当前,制度性缺陷是影响坚持实事求是思想路线的突出问题.因而,要编织严密的制度之网,将制度保障机制建设与提高干部队伍自身素质相结合,将外在的硬性约束与内在的软性约束相结合,确保实事求是思想路线得到贯彻落实.     

A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank-based Markov Chains

Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analysis of income dynamics. We use state-level US income data from 1929 to 2009 to demonstrate the visual analytics system and its utility for exploring similar data. The system consists of two modules, visualization and analytics. The visualization module, a Web-based front-end called Rank-Path Visualizer (RPV), draws inspiration from the cartographic technique of flow mapping, originally developed by Tobler and embodied in his canonical Flow Mapper application.