论近代西方劳动关系理论发展的历史轨迹

近代西方资本主义的发展史,也是一部劳资关系发展的历史.以工业化为标志的产业革命,同时产生了劳动问题,劳动问题的实质就是劳资关系问题.从亚当·斯密到马克思乃至凯恩斯,不同学科背景的学者们从不同的视角致力于劳资关系问题的研究,推动了劳资关系和劳工运动的理论发展.回顾与梳理近代劳动关系理论的历史发展,对社会转型期的中国和谐劳动关系的构建,具有重要的借鉴意义.     

技术载动社会：中国互联网接入二十年

人类社会创造了科学技术,科学技术又反过来造福于人类社会,技术与社会总是在相互作用中彼此推进的.互联网不同于以往人类历史上的任何一项技术创新,它对人类社会和生活所产生影响的深度和广度,都是前所未有的.互联网接入中国二十年的历史启示在于,其开放与协作的技术逻辑不仅始终引领互联网自身的发展,更是越来越深刻地影响并改变着我们社会的现在及未来.     

1958—1965年中国邮政网路发展及其影响探析

邮政网路是强化通信事业发展、促进社会进步的必要条件。自“一五计划”后的1958年至“文革”前的1965年,随着我国邮政网路的持续建设,邮政局所在精简中不断发展,且机动运输邮路取得长足进展,邮政运输工具特别是机械化工具获得了大幅进步,进而促进邮政相关业务发展,并对国民经济恢复和建设产生重要影响。     

改进的人工神经网络方法在农业现代化综合评价中的应用

该文将因子分析的方法引入人工神经网络,运用于农业现代化多指标综合评价,克服了人工神经网络在多指标情况下预测精度降低的不足,为农业现代化综合评价的研究方法提出了新的思路。     

Modeling Demand For Unionization With Nontraditional Data Analysis Methods

Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among typical union determinant variables seems to show different patterns of relationships at different levels of union demand. Thus, a break from traditional linear data analysis techniques is explored in the interest of explaining more variance with typical, theoretically derived variables by using neural network analysis. Results of analyses on industry level data reveal that using neural network analysis to model union demand explained over four times as much variance as multiple regression analysis.     

网络环境下现代档案咨询服务

网络信息技术的发展促使档案咨询服务方式发生了变革,本文提出了网络环境下做好现代档案咨询服务的途径和方法。     

HR转型背景下劳动关系与劳动法课程教学方法新探

2020年中共中央办公厅、国务院印发的《关于深化新时代教育督导体制机制改革的意见》,进一步推动了我国教育事业的改革和发展,也为HR转型背景下劳动关系与劳动法课程教学方法的改革提供了优良契机。基于此,文章介绍了HR转型与专业人才培养的关系,分析了HR转型对劳动关系与劳动法课程教学的影响,探究了HR转型背景下劳动关系与劳动法课程的教学现状,论述了HR转型背景下劳动关系与劳动法课程教学的创新路径。     

突发重大疫情网络舆论的生成逻辑､演进特征与治理机制

新形势下突发重大疫情网络舆论不仅给疫情防控带来了严峻挑战,而且给维护国家意识形态安全带来了较大压力。厘清网络舆论的生成逻辑,把握网络舆论发展的演进特征,对做好网络舆论引导与谣言治理意义重大。在现代网络社会,随着交往实践的普遍进行,从现实逻辑、实践逻辑与理论逻辑来看,突发重大疫情网络舆论的生成,是网络议题、网络交往和网络传播相互作用的结果。受网络社会交往实践主体、客体、环体和介体等多种因素影响,突发重大疫情网络舆论又呈现为非线性的发展演进趋势,极易引发“蝴蝶效应”造成舆论秩序失范,甚至导致“塔西佗陷阱”的舆论信任危机,给疫情防控带来复杂变数。必须建立健全网络舆论治理机制,有效管控舆情,提高疫情防控治理水平。     

The coevolution of trade agreements and investment treaties: Some evidence from network analysis

Regional trade agreements (RTAs) and bilateral investment treaties (BITs) are expected to promote trade and investment relationships. One critical feature of such agreements is the network, so the multiplex coevolution of RTAs and BITs should be captured by the dynamics of their two networks. Although many studies have examined the roles of RTAs and BITs, most studies do not account for crucial network properties. This study explores how RTAs and BITs coevolve by applying a stochastic actor-oriented model of multiplex network evolution. In particular, we examine the roles of (i) cross-network dyadic interinfluences and (ii) within- and cross-network preferential attachments to discuss the dynamic relationships between RTAs and BITs. The results are as follows. First, our estimation supports cross-network dyadic interinfluences. Countries that sign a BIT are willing to establish an RTA, while those that sign an RTA are reluctant to establish a BIT. Second, concerning preferential attachments, countries prefer to sign BITs with partners that have more RTA and BIT links. However, countries tend to form RTAs with partners that have more BIT links but are reluctant to form RTAs with those that have more RTA links. We discuss possible justifications for these results, including arguments regarding the benefits and costs associated with the formation of RTAs and BITs.