中国传媒和企业发展关系研究

中国经济转型的重要特征之一是企业群体逐步转变为社会主义市场经济的市场主体。期间 ,中国的企业群体和大众传媒之间关系发生了深刻的演变。本论文探讨中国企业与传媒之间三个层面的关系演变 :企业对大众媒介的接触和使用 ,大众媒介和企业发展决策关系以及企业与大众媒介之间关系的日常管理。论文解释了中国经济转型期间企业与传媒之间互为环境、互动发展的关系形成以及此种关系对企业群体发展的作用     

后现代哲学的反基础主义与复杂性探索

反基础主义是后现代哲学的一个基本理论倾向 ,与基础主义具有相反的意义。其主要内容有 :否定大叙事 ,拒斥形而上学 ,抛弃反映论 ,否认同一性。现代技术革命是复杂性探索产生的社会文化背景 ,也为反基础主义的出现提供了重要条件。反基础主义与复杂性探索共存于同一社会文化之中 ,它们之间存在着相互为用与相互阻抗的相互作用与相互影响 ,但它们既不互为基础又互不相属。     

幼儿园科学教育活动师幼互动研究——基于CLASS课堂互动评估系统的观察分析

幼儿科学教育实施的成效直接影响到科学素养的养成,科学教育活动中的师幼互动质量是幼儿科学教育成功与否的关键。本文以CLASS课堂互动评估系统为研究工具,对18个幼儿科学教育活动视频样本进行观察评分,用SPSS19.0进行数据分析,描述幼儿园科学教育活动中师幼互动的现状,重点探讨幼儿园科学教育活动师幼互动中情感领域、活动组织、教育支持三方面及其下属维度,并基于CLASS课堂互动评估系统的视角提出改善幼儿园科学教育活动中师幼互动的可行性建议。     

西藏产业互动的经济增长效应研究

西藏产业结构虽然呈现出了类似于欧美国家的"三二一"格局,但是由于产业互动水平较低,因此产业系统的产出效率较低,对经济增长的促进作用有限。西藏产业互动与经济增长之间存在着相关关系,但是产业互动程度较低,对促进区域经济增长贡献有限,与东部发达区域存在差距;另外,西藏产业和企业经济效益并不乐观,产业结构转换的产出能力与全国相比较低。因此,为了发挥比较优势,促进西藏经济持续增长,除了要注重调整产业结构的比例关系之外,更重要的是要以产业互动作为西藏产业发展的战略选择。     

核心价值观视域下现代礼仪之构建

核心价值观的培育和践行体现在生活的各个方面,最为重要的是体现在普通民众的言行举止方面。作为人们在长期的生活实践中约定俗成的行为规范与准则,礼仪包含礼貌以及礼节等内容,是现代社会人与人、社会、国家之间交往互动的重要“介质”。社会主义国家中的人际交往应该自觉剔除不符合核心价值观的规范,在个人层面的交往互动上体现诚信和友善,在社会交往层面上体现平等自由,才能最终形成国家层面的文明和谐共处。因此,现代礼仪的构建应该在继承优秀传统和吸收现代文明成果的基础上,形成个人礼节、社会礼仪文化和国家仪式三个层面的内容,并建立相对应的社会机制来设计、制作和推广现代礼仪体系。     

央地互动、多重逻辑与制度变迁——基于对建设用地一级配置层面的考察

以社会行动者理论与多重制度逻辑框架为基础,从中央政府与地方政府两个行动者的多重逻辑出发,在央地互动视阈下对中国建设用地一级配置管理的政策演化与制度逻辑进行了解析。研究发现,在建设用地一级配置管理的制度变迁中,央地双方在多重逻辑的相互作用下,针对不同的土地利用计划指标类型,实质设立了差别化的行动准则：在中央权威有效性逻辑与地方代理自利性和局部自主性多重考量的相互回应下,对于新增建设用地计划指标,央地采取了掌控与突破的相斥性准则;在中央强公共性和有效性逻辑重叠与地方局部自主性逻辑的相互交织下,对于非新增建设用地计划指标,央地则采取了放权与执行的相容性准则。在这种差别化的行动准则下,央地双方展开了持续性互动,最终形成了新增建设用地指标愈发收紧的“计划管控”、非新增建设用地计划指标愈发灵活的“市场调剂”的“双轨化”变迁路径。由此可见,在央地政府这种差别化的行动准则下,中国未来的建设用地配置改革,不能只寄期望于诸如简单引入市场机制等治理结构层面的改变,还需要从深层次把握中央集权体制下央地政府的多重逻辑、管理诉求与互动策略,由此才能设计能够引导央地激励相容、优势互补的制度改进机制。     

二语作格动词语义加工中的身物交互效应

This article investigates the theoretical basis and feasibility in the processing of English ergative verbs from the perspective of body-object interaction effects (BOI). It analyzes the motor degree of different verbs, probing into the semantic features and syntactic behaviors of ergative verbs. It also explores the relationships between the BOI effects and different type of verbs in semantic processing, examining the motor prominence of English ergative verbs, as well as analyzing the factors that cause the misusage of English ergative verbs in the second language processing. Further empirical research is needed to verify the BOI effects’ restrictive elements in the processing of English ergative verbs.     

Age-period-cohort analysis: an illustration of the problems in assessing interaction in one observation per cell data

This paper discusses the specific problems of age-period-cohort (A-P-C) analysis within the general framework of interaction assessment for two-way cross-classified data with one observation per cell. The A-P-C multiple classification model containing the effects of age groups (rows), periods of observation (columns), and birth cohorts (diagonals of the two-way table) is characterized as one of a special class of models involving interaction terms assumed to have very specific forms. The so-called A-P-C identification problem, which results from the use of a particular interaction structure for detecting cohort effects, is shown to manifest itself in the form of an exact linear dependency among the columns of the design matrix. The precise relationship holding among these columns is derived, as is an explicit formula for the bias in the parameter estimates resulting from an incorrect specification of an assumed restriction on the parameters required to solve the normal equations. Current methods for modeling A-P-C data are critically reviewed, an illustrative numerical example is presented, and one potentially promising analysis strategy is discussed. However, gien the large number of possible sources for error in A-P-C analyses, it is strongly recommended that the results of such analyses be interpreted with a great deal of caution.     

Nonparametric prediction analysis for binary data

A nonparametric inference algorithm developed by Davis and Geman (1983) is extended problem. The algorithm and applied to a medical prediction employs an estimation procedure for acquiring pairwise statistics among variables of a binary data set, allows for the data-driven creation of interaction terms among the variables, and employs a decision rule which asymptotically gives the minimum expected error. The inference procedure was designed for large data sets but has been extended via the method of cross-validation to encompass smaller data sets.     

A new approximation to the distribution function of the studentized maximum root

The Studentized maximum root (SMR) distribution is useful for constructing simultaneous confidence intervals around product interaction contrasts in replicated two-way ANOVA. A three-moment approximation to the SMR distribution is proposed. The approximation requires the first three moments of the maximum root of a central Wishart matrix. These values are obtained by means of numerical integration. The accuracy of the approximation is compared to the accuracy of a two-moment approximation for selected two-way table sizes. Both approximations are reasonably accurate. The three-moment approximation is generally superior.