城市空间的改造、生产到正义侵蚀（巴黎1850—1890）

1850—1890年以奥斯曼为代表的统治者对巴黎城市空间进行功能性改造，塑造了巴黎新的景观社会并完成了空间生产化、秩序化、政治化的重构。资产阶级借助地租杠杆，利用空间政治工具性和政治功能性进行资本扩张的同时，也实现了阶层分化和新身份政治的形成。资本投机下的空间改造与生产使得巴黎无产阶级生存与发展的权益逐步被蚕食、侵害和剥夺，无产者对资产阶级的空间改造逐渐产生了由认同—消解—反抗的转向，空间正义意识开始觉醒。通过对城市空间规划改造中的阶级立场分析，论证空间正义与城市发展、阶层融合、社会排斥之间的联系机理，阐明资本主义空间规划与空间生产的固有缺陷，对当代城市的空间规划、贫困问题、社会排斥、城市包容性发展、环境更新与治理等现实问题提供新的视角启发与理路审视。     

Improved Transferability of Data‐Driven Damage Models Through Sample Selection Bias Correction

Damage models for natural hazards are used for decision making on reducing and transferring risk. The damage estimates from these models depend on many variables and their complex sometimes nonlinear relationships with the damage. In recent years, data‐driven modeling techniques have been used to capture those relationships. The available data to build such models are often limited. Therefore, in practice it is usually necessary to transfer models to a different context. In this article, we show that this implies the samples used to build the model are often not fully representative for the situation where they need to be applied on, which leads to a “sample selection bias.” In this article, we enhance data‐driven damage models by applying methods, not previously applied to damage modeling, to correct for this bias before the machine learning (ML) models are trained. We demonstrate this with case studies on flooding in Europe, and typhoon wind damage in the Philippines. Two sample selection bias correction methods from the ML literature are applied and one of these methods is also adjusted to our problem. These three methods are combined with stochastic generation of synthetic damage data. We demonstrate that for both case studies, the sample selection bias correction techniques reduce model errors, especially for the mean bias error this reduction can be larger than 30%. The novel combination with stochastic data generation seems to enhance these techniques. This shows that sample selection bias correction methods are beneficial for damage model transfer.     

民族声乐作品中时代性的把握 ——以《我的祖国》为例

民族声乐作品的时代性,即作品与时代两者之间的关系,主要表现在社会生活、个人因素和演唱方法三个方面.特别是面对如《我的祖国》这类经典时代作品时,把握作品中的时代性相关因素,是理解其时代性风格特点的根本之所在.     

"以市场为导向"论地方本科院校复合型翻译人才培养模式改革

随着全球化一体化和国际交流的日益发展,语言服务业对复合型人才的需求日趋增加,而大多数外语翻译人才都是在高校中培养出来的.然而目前调查显示虽然翻译从业者人数较大,但能够完全达到标准的人才却少之甚少.面对这一巨大缺口,国家在发展对外贸易时往往会面临人才不足的尴尬局面,究其原因在于各院校在对翻译人才的培养上欠缺科学的方式方法.以地方市场经济为导向,分析地方本科院校该如何改变人才培养观念和教学模式,以提高教学质量和翻译人才水平,培养合格的复合型翻译人才,以满足社会经济发展的需求.     

Illustrating the Value of Critical Methodologies Through Third-sector Gender Studies: A Case for Pluralism

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations - To encourage methodological pluralism in the field, this paper examines an illustrative sample of articles that apply...     

“功能性表达性模型”与中国警察信任——基于全国样本的多重中介与调节模型分析

功能性模型认为，提升警察信任的主要方法在于预防和控制犯罪，降低犯罪率与提升公众安全感；而表达性模型认为，提升警察信任更应注重维护社会正义与社区凝聚力。基于提出促进中国警察信任度提高的理论模型，提升公众获得感、幸福感、安全感，实现国家和社会整体安全的最终目的，采用结构方程模型验证“功能性-表达性模型”与中国警察信任关系的结果表明，功能性模型与表达性模型内部因素之间存在显著路径关系，同时功能性模型显著影响表达性模型指标进而改变公众对警察的信任程度。经调节效应分析后发现，主观社会阶层负向调节被害经历到犯罪恐惧感的直接路径，社交媒体使用负向调节犯罪恐惧感到警察信任的直接路径；在主观社会阶层和社交媒体使用的共同调节作用下，“被害经历→犯罪恐惧感→警察信任”中介路径效应值，随社交媒体使用频率的提升而增大，随主观社会阶层的升高而减小。     

Co-constructing a Conceptual Understanding of System Enactment

Clinical Social Work Journal - System enactments are co-created phenomena characterized by confounding and emotionally charged multi-person interactions that emerge through the convergence of...     

Mobile Money and School Participation: Evidence from Africa

This paper shows that mobile money technology—an electronic wallet service that allows users to deposit, transfer, and receive money using their mobile phones—is positively correlated with increased school participation of children in school age. By using data from 4 African countries, we argue that, by reducing transaction costs, and by making it easier and less expensive to receive remittances, mobile money reduces the need for coping strategies that are detrimental to child development, such as withdrawing children from school and sending them to work. We find that mobile money increases the chances of children attending school. This finding is robust to different empirical models. In a nutshell, our results show that 1 million children could start attending school in low-income countries if mobile money was available to all.

     

科技创新、产业复杂度与经济增长

科技创新能够通过产业复杂度的变化对经济增长产生影响.以1995—2019年世界银行和哈佛大学Atlas数据库的科技创新为研究样本,运用中介效应检验方法,考察科技创新如何通过纺织类、农业类、钻石类、矿产类、金属类、化工类、汽车类、设备类和电子类的产业复杂度变化来影响国民生产总值,从而揭示了科技创新如何通过产业复杂度的变化影响经济增长的机理.研究结果表明:从总体上看,科技创新影响经济增长的过程中,产业复杂度的中介效应量为90.83％,具有显著性,其中农业类、钻石类以及矿产类相关系数为负,其他类别相关系数为正,电子类作用程度最高.区分经济体类型的研究结果显示:产业复杂度的中介效应存在异质性,发达经济体、亚洲经济体、技术密集型经济体存在相对优势,而且科技创新促进经济增长开启了"机会窗口期",后发经济体可以实现"弯道超车".这一研究结论有助于丰富科技创新领域的相关成果,能够为引导产业转型升级方向、提高国家经济增长能力提供理论依据和经验借鉴.     

非法集资投资人地位及投资合同效力的反思与破解

当前，我国法律框架对非法集资案件中投资人诉讼地位及投资合同效力还缺乏明确的法律规定，使得不同案件的裁判尺度难以统一，再加上此类案件普遍存在刑民交叉的特点，处置程序缺乏相应规范成为司法实践中面临的严峻问题。针对投资人诉讼地位，可结合法益保护、刑事被害人的正当性及有利司法实践原则，将集资诈骗罪中的投资人界定为被害人，非法吸收公众存款罪中的投资人界定为证人。针对投资合同效力，可结合民法典及刑事立法精神，将集资诈骗罪中的投资合同认定为无效合同；非法吸收公众存款罪中则应结合当事人的主观意图等对投资合同的有效性、是否可撤销等进行具体区分。同时建议设立公告程序及诉讼代表人制度，充分保障非法集资案件中投资人及第三人参与诉讼的合法权益。