论中国早期电影的自由精神

中国早期电影突破传统模式、打破封建牢笼,善于吸收西方先进文化中所体现的自由价值取向.从电影的选题、创作、以至宣传发行都是独立自由、勇于创新的.早期电影深受多元文化的影响,直接倡导自由精神,鞭笞落后反动的旧式习俗思潮,这一切为早期中国电影的发展注入了无限活力,对整个社会也产生了深远的影响.     

汉英翻译中数字模糊语义的处理技巧

模糊是语言的基本属性之一。数字在语言学的意义,既有其精确的一面,同时也有模糊的一面。对数字的模糊语义的处理是汉英翻译的难点,研究其翻译的技巧,有利于提高翻译的质量。     

以马克思主义的科学态度学习《江泽民文选》

文章论述了学习<江泽民文选>要采取马克思主义的科学态度,即要结合时代背景和实践的历史进程,深刻领会其重大意义和精神实质;以坚持和发展相统一的观点指导理论学习;理论联系实际,结合人们所做的实际工作来学习;要反对各种不良倾向,以提高学习实效.     

试探土家语语源

根据湖南龙山里耶近年发现的大量秦简,对土家语语源进行探讨。在土家语语源“巴人说”和“江西说”之间,笔者基于近三年来对大量土家语村寨的调查,认为土家语是由大量江西迁来者带来的母语。     

土家语环境分析及保护之管见

民族语言是民族的灵魂,是最具民族特征的非物质文化。土家语是接近濒危的一个语种,无论是它的地理环境还是它人文环境,对它长期生存都十分不利。为此,有必要对土家语采取一些有效的保护措施,给它营造一种宽松的生存环境,让它长期生存下去。     

Cox regression of clustered event times with covariates missing not at random

Motivated by a recent tuberculosis (TB) study, this paper is concerned with covariates missing not at random (MNAR) and models the potential intracluster correlation by a frailty. We consider the regression analysis of right‐censored event times from clustered subjects under a Cox proportional hazards frailty model and present the semiparametric maximum likelihood estimator (SPMLE) of the model parameters. An easy‐to‐implement pseudo‐SPMLE is then proposed to accommodate more realistic situations using readily available supplementary information on the missing covariates. Algorithms are provided to compute the estimators and their consistent variance estimators. We demonstrate that both the SPMLE and the pseudo‐SPMLE are consistent and asymptotically normal by the arguments based on the theory of modern empirical processes. The proposed approach is examined numerically via simulation and illustrated with an analysis of the motivating TB study data.     

适应性网络空间抽样的设计及估计研究

随着大数据背景下抽样环境复杂化,特别是3S技术（遥感技术、地理信息系统和全球定位系统）日趋成熟,越来越多社会经济问题涉及空间抽样,其样本呈现出规模相对稀少、分布不均匀、局部聚集的特征,使得传统抽样调查面临着严重挑战。本文介绍了适应性抽样技术应用于空间网络环境的基本原理、主要操作步骤和马尔可夫链蒙特卡罗估计推断,并以广州市天河区的商户抽样为例讨论实际操作中应注意的问题,以期为流动人口、环境污染、区域经济研究等方面调查提供理论支撑和实证方法参考。     

Functional and emotional traits of corporate social media message strategies: Behavioral insights from S&P 500 Facebook data

Drawing from literature regarding public engagement, the Elaboration Likelihood Model (ELM), computer-mediated communication research, and emotion psychology, this study examines the effects of companies’ social media communication strategies on public engagement behaviors as indexed by post likes, shares, and comments. Specifically, it investigates how corporate Facebook posts’ functional traits (functional interactivity and vividness) and emotional traits (emotion presence, valence, and strength) impact public engagement online. Through data mining and computer-assisted sentiment analysis of 33,379 posts from 106 Standard & Poor 500 companies’ Facebook accounts, this study finds a negative effect of functional interactivity but a positive effect of vividness on engagement. It also shows that emotional traits overall yield stronger public engagement outcomes. Two-way interactions between emotional and functional features are also detected. Theoretical and practical implications are discussed.     

The quest for legitimacy and the communication of strategic cross-sectoral partnership on Facebook: A big data study

Nowadays, many wicked problems such as environmental issues require organizations from multiple sectors to form cross-sectoral alliances. Cross-sectoral alliance networks can transfer resources and signal affiliations and value alignment between strategic partners. The communication of cross-sectoral alliances is a form of CSR communication that serves organizations’ strategic goals and objectives. Drawing on the literature on digital CSR communication and legitimacy theory, this article examines which legitimacy needs shape the formation of cross-sectoral ties on Facebook in addressing environmental and sustainable development issues in the United States. Combining data-mining, text-mining, social network analysis, and exponential graph modeling, this research investigates the structure of a network among 3071 organizations across multiple sectors. Findings show that organizations’ cross-sectoral tie formation is mainly driven by social legitimacy and alliance legitimacy needs.