黑龙江蒙古族饮食习俗述略

本文介绍了黑龙江蒙古族饮食习俗的内容与特点。     

《大兴安岭鄂伦春》评述

本文对关小云女士的著作<大兴安岭鄂伦春>进行了评述.     

The Black male teacher: a 10-year content analysis of empirical research

ABSTRACT

The purpose of this study was to characterize the last decade of Black male teacher empirical research. The present study aimed to elucidate the most salient themes, commonalities, and departures in the literature on Black male educators. A quantitative content analysis was performed to systematically characterize the research trends present in this line of inquiry. The data were collected using an inductively generated coding scheme. A sample of n = 31 studies were identified and examined from articles published between 2006 and 2016. Then frequency data were computed to characterize the data under investigation. The study results indicate that Black male teacher research is nuanced and burgeoning, despite several lapses in article production. The results of this study contribute to the literature on Black male teacher recruitment, retention, and experiences by providing a survey of current research trends that suggest areas of strength, as well as challenges warranting further consideration.     

企业在线社群内容组合策略的影响研究

现代企业通过建立在线社群实现与消费者的互动,希望在向消费者提供服务的同时进行更好的营销,然而如何提供在线社群中的营销与服务内容却是一大难题.本文在营销—服务二元理论的基础上,提出了在线社群内容二元性的平衡维度与结合维度概念,并研究平衡维度与结合维度如何影响销售业绩与消费者的满意度.结合机器学习方法,本文发现,平衡维度对消费者满意度和销售绩效有提高作用,但是,结合维度对消费者满意度及企业绩效的影响呈倒U型;另外,企业员工的技能水平对内容二元性策略的效果有着显著的调节作用.研究结论对企业理解在线社群中的营销内容与服务内容之间的二元关系,以及内容提供策略的价值机制有重要的指导意义.     

中华文化教育与课程教学的有机结合——以英语专业课程为例

中华文化教育与课程教学的有机结合,是学校实施中华文化教育的重要途径.尽管不同课程和专业有着不同的教学内容与特点,但培养具有良好综合素质人才的教育目标,是各课程教学与中华文化教育结合的共同出发点与归宿.由于学科间的差异,中华文化教育与不同课程相结合的意义不同,结合的基础也不尽相同.英语专业课程的人才培养目标和当前所存在的问题,使其与中华文化教育的结合具有特殊的意义;英语专业课程的文化属性为两者的结合提供了基础;观念的更新、中华文化教育在课程教学中的明确定位、教育者素养的提高等,是两者结合的基本保障.     

论我国学前教育专业人才培养规格之嬗变

我国学前专业人才培养规格历史的基本走向是：清末民初时期的幼儿园教师培养制度初建,建国初期学习苏联幼儿园教师培养经验,改革开放初期提出幼儿园教师培养基本要求,21世纪初期肯定幼儿园教师专业地位,2010年以来幼儿园教师培养迈向标准化。学前教育专业学生培养的规格取向由只重保育到保教结合,由保姆到专业教师,由重理论学习到理论与实践相结合。学前专业人才培养规格从萌芽、形成走向逐渐清晰和成熟。审视和梳理我国学前教育专业人才培养规格的历史演变,总结其发展趋势,旨在准确认识和把握当前学前教育专业的人才培养规格,构建在培养规格科学定位指导下与之相匹配的课程体系。     

How far merit selection? Social stratification and the labour market1

The question of how societies allocate occupational positions and subsequent rewards has long been of interest to sociologists. According to one influential theory, the needs of modern industrial societies and economies demand that high-level and functionally important occupational positions are allocated according to meritocratic principles. I argue that, ultimately, employers get the final say about which characteristics are rewarded in the labour market. In order to examine which skills and attributes are required by employers for particular occupations I analyse data drawn from a content analysis of c.5000 British newspaper job advertisements. The results show that both merit and non-merit characteristics are requested by employers in job advertisements, even for occupations falling within the higher classes. I also find evidence that employers have similar requirements for similar occupations, cross-cutting class boundaries.     

汉代封事的内容及其运作

＂章表奏议,经国之枢机＂。文书形态和运作机制的变迁,是了解中国古代政治制度成长性变革的一个重要切入点。封事是一种直达御前、＂不使人知＂的机密文书,其内容涉及外戚关系、皇帝得失、国家政治和大汉安危等社会政治生活的各个方面。与普通章奏相比,封事的传递、运转过程绕过了尚书台的拆封和审阅处理,直达皇帝,由皇帝亲自批阅,传递过程简单、直接,中间只有少数几个人员和机构参与封事的传递,略去了审阅和处理环节。     

What is gained and what is left to be done when content analysis is added to network analysis in the study of a social movement: Twitter use during Gezi Park

As social movements relying on the weak ties found in social networks have spread around the world, researchers have taken several approaches to understanding how networks function in such instances as the Arab Spring. While social scientists have primarily relied on survey or content analysis methodology, network scientists have used social network analysis. This research combines content analysis with the automated techniques of network analysis to determine the roles played by those using Twitter to communicate during the Turkish Gezi Park uprising. Based on a network analysis of nearly 2.4 million tweets and a content analysis of a subset of 5126 of those tweets, we found that information sharing was by far the most common use of the tweets and retweets, while tweets that indicated leadership of the movement constituted a small percentage of the overall number of tweets. Using automated techniques, we experimented with coded variables from content analysis to compute the most discriminative tokens and to predict values for each variable using only textual information. We achieved 0.61 precision on identifying types of shared information. Our results on detecting the position of user in the protest and purpose of the tweets achieved 0.42 and 0.33 precision, respectively, illustrating the necessity of user cooperation and the shortcomings of automated techniques. Based on annotated values of user tweets, we computed similarities between users considering their information production and consumption. User similarities are used to compute clusters of individuals with similar behaviors, and we interpreted average activities for those groups.