破"五唯"背景下的高校人才评价机制研究

长期以来,高校人才评价工作受到"五唯"顽疾的严重影响.在破"五唯"背景下,高校人才评价工作面临必须构建新的人才评价机制的任务和要求,通过对破"五唯"的影响分析,以人才分类、评价标准、评价形式和评价结果运用等方面为重点就建立新的人才评价机制进行了研究.昆明理工大学积极响应国家破"五唯"要求,对人才评价机制建设进行了有益的探索,初步建立了人才分类比较科学、评价标准公平合理、评价过程可控、评价结果可运用的人才评价机制.     

媒体融合视域下党媒联动存在的问题及其对策探究

当前,党媒联动发挥了党媒的优势,提高了新闻传播的效力,也使党媒的传播形式有了变化,即高水平、高层次的采集单次化和传播多元化的全媒体传播.但是,当前党媒联动还存在一些问题,探究媒体融合视域下党媒联动存在的问题并提出相应的对策,尤为重要.     

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。     

美国夏威夷州标准化基础教育改革:理念、路径与启示

在美国标准化教育改革思潮和夏威夷独特教育价值观的影响下,夏威夷州开始进行大刀阔斧的标准化基础教育改革.此次改革极具鲜明特色,在规划政策推行、领导团队搭建和配套制度建设三方面的系列措施取得了阶段性成功,但同时也面临着资本过度干预教育的困境.美国夏威夷州的标准化基础教育改革为我国提供了镜鉴.我国基础教育改革需要制定统筹兼顾的教育规划,发掘本土文化的教育价值;集结教育系统的内外力量,设计分工合理的运行框架;设定并行不悖的衡量标准,放宽教育目标的达成方式;发挥宏观调控的积极作用,弥补教育管理的薄弱环节.     

会计学专业网络课程教学效果分析和思考 ——以湖南工程学院为例

随着"互联网+教育"的深入发展,网络教育模式和教学手段不断更新,目前国内高校利用超星、中国大学MOOC平台、智慧树等网络教学平台开展网络教学已非常普遍.通过对湖南工程学院会计学专业课程网络教学进行抽样调查,从网络教学平台使用情况、学生接受度、学习情况、学习效果、满意度等方面进行统计分析.旨在总结网络教学模式的成功经验,反思存在的问题和不足,为网络教学未来的发展提供借鉴.     

Multiple event times in the presence of informative censoring: modeling and analysis by copulas

Motivated by a breast cancer research program, this paper is concerned with the joint survivor function of multiple event times when their observations are subject to informative censoring caused by a terminating event. We formulate the correlation of the multiple event times together with the time to the terminating event by an Archimedean copula to account for the informative censoring. Adapting the widely used two-stage procedure under a copula model, we propose an easy-to-implement pseudo-likelihood based procedure for estimating the model parameters. The approach yields a new estimator for the marginal distribution of a single event time with semicompeting-risks data. We conduct both asymptotics and simulation studies to examine the proposed approach in consistency, efficiency, and robustness. Data from the breast cancer program are employed to illustrate this research.

     

Re‐framing the Analysis: A 3‐dimensional Perspective of Prisoners’ Children's Well‐being

This article highlights three dimensions to understanding children's well‐being during and after parental imprisonment which have not been fully explored in current research. A consideration of ‘time’ reveals the importance of children's past experiences and their anticipated futures. A focus on ‘space’ highlights the impact of new or altered environmental dynamics. A study of ‘agency’ illuminates how children cope within structural, material and social confines which intensify vulnerability and dependency. This integrated perspective reveals important differences in individual children's experiences and commonalities in broader systemic and social constraints on prisoners’ children. The paper analyses data from a prospective longitudinal study of 35 prisoners’ children during and after their (step) father's imprisonment to illustrate the arguments.     

Partial Identification of Economic Mobility: With an Application to the United States

Abstract

The economic mobility of individuals and households is of fundamental interest. While many measures of economic mobility exist, reliance on transition matrices remains pervasive due to simplicity and ease of interpretation. However, estimation of transition matrices is complicated by the well-acknowledged problem of measurement error in self-reported and even administrative data. Existing methods of addressing measurement error are complex, rely on numerous strong assumptions, and often require data from more than two periods. In this article, we investigate what can be learned about economic mobility as measured via transition matrices while formally accounting for measurement error in a reasonably transparent manner. To do so, we develop a nonparametric partial identification approach to bound transition probabilities under various assumptions on the measurement error and mobility processes. This approach is applied to panel data from the United States to explore short-run mobility before and after the Great Recession.