生态人类学的理论源流及其后现代特征

生态人类学是文化人类学的一门新兴的分支学科,已成为西方当代文化人类学的重要流派,并对文化人类学的发展产生了很大影响。生态人类学的不同流派以不同形式反映了“环境决定论”的基本思想,对人类中心主义、科学主义和理性主义等现代性的批判表现出明显的后现代主义思想特征。     

论民族视角的经济研究

本文提出把民族作为中国少数民族经济或民族经济学的分析框架。民族生存的自然环境和民族认同的文化特质构成民族概念的内在规定,并呈现为民族经济生活自然差异和文化差异二重性。把握民族经济生活差异二重性是建构学科理论框架的关键。     

参与观察、类型比较和文化变迁的经验基础--评费孝通与利奇之间的理论分歧

本文对费孝通和利奇的理论作了较为详细的对比分析 ,并找出了他们的分歧所在 ,有助于社会人类学学者对我国社会问题的进一步研究     

Wider Perspectives in Family Mediation: An Ecosystemic Approach

All mediation processes are constrained by their theoretical frameworks. A wider ecosystemic framework extends perspectives and can open new windows on family systems, interdisciplinary connections, and links between past, present, and future that shape decisions. While showing some similarities to family therapy, ecosystemic family mediation is a discrete process with clearly defined principles and boundaries. In practice, it needs to be tailored to the needs of the particular family, with special attention to the importance of listening and talking with children who are experiencing parental separation and major changes in their lives. Family mediators help family members to manage change. Mediators need to look for change within themselves too, remaining open to new ideas and the development of their thinking and practice.     

习近平奋斗幸福观的理论内涵

奋斗幸福观是习近平新时代中国特色社会主义思想的重要组成部分，是马克思主义幸福理论的最好阐释和最新发展，它赋予了幸福历史的深度、时代的高度和现实的温度，具有深刻的理论内涵与丰富的理论意蕴。对其理论内涵的解读可从四个维度进行，从国内外双重视角分析奋斗幸福观的问题缘起，明确其现实必然性；从当前到长远把握奋斗幸福观的本真旨归，明晰其目标指向性；从个体到群体厘清奋斗幸福观的主体构成，阐明其全员参与性；从理想到现实确定奋斗幸福观的实践指南，剖析其路径协同性。奋斗幸福观深刻阐明了奋斗和幸福之间的辩证关系，具有强大的亲和力、凝聚力、生命力和战斗力，是全体中国人民获得幸福和过上美好生活的观念指引和行动指南，具有厚重而深远的历史意义和现实意义。     

民族地区城镇化发展模式及路径创新——基于四川、广西、贵州等地的调研分析

城镇化是我国民族地区经济社会发展的必经阶段。探索民族地区的城镇化发展模式及创新路径，对于加速民族地区现代化进程、转变民族地区经济增长方式以及实现社会安定团结具有重要的推动作用。文章在对民族地区城镇化发展现状描述的基础之上，归纳概括出城镇化运行的四大矛盾；并全面总结出旅游产业带动型、工业发展助推型、边境贸易推动型、草原牧业发展型四大类型的城镇化发展模式；通过构建民族地区城镇化发展的愿景框架，结合民族地区的发展实际，最终提出坚持绿色低碳，发展城镇化的生态文明建设，强化产城融合，持续释放城镇化的发展活力，深化制度改革，实现城镇化发展质量的提升及保持文化传承，不断彰显城镇化的民族特色等城镇化发展的创新路径。     

Ethiopia's developmental state: A building stability framework assessment

Ethiopia has been lauded for its economic growth and progress in human development indicators. For some, that success is rooted in the developmental state approach advocated by the government. For others, the theory of the developmental state and the practice in Ethiopia were often at odds. Up until 2018, ideas that challenged the state and its approaches were not welcome, and politicians, academics and journalists were jailed for expressing alternative views. However, this appears to have changed, and in June 2018 the Deputy Prime Minister called for debate on the developmental state model. This article explores Ethiopia's developmental state model using the building stability framework, analysing its ability to establish fair power structures, foster inclusive economic growth, develop conflict‐resolution mechanisms, create effective and legitimate institutions, and enable a supportive regional environment. We find the developmental state was effective in a number of ways, but that this modality of governance appears to have passed its peak of securing advantage in Ethiopia. A shift from the developmental state to developmental democracy appears to be underway. Decision‐making and economic policies need to align with this change.     

区块链技术下智能合约之于合同的新诠释

应用于交易领域的智能合约融入区块链技术,以代码形式表现,可实现合同履行的自动化和不可逆,超越了传统意义上的合同模式.自助行为说、代理说将智能合约视为对合同过程的外部增强,是侧面功能的法律阐释,并未完全捕捉到实质.智能合约并不一定跨越整个合同过程,也可仅是合同过程某个方面或某个阶段.法律意义上的智能合约不是合同新类型,而是合同关系形式的新发展,即当事人缔结和履行合同的新形式,合同性质未发生实质变化.智能合约满足特定要件构成特殊的书面形式,具有"书面形式+自动履行"功能的特质.民事主体通过智能合约形式订立合同应遵守《民法典》等现行法律的具体规则,以保证合同依法成立与生效.智能合约不等同于具有法律效力的合同,认定其效力应结合智能合约应用中的具体问题展开具体分析.从立法上确认智能合约,在符合国家现有法律、政策基础上编写和应用,实现形式的合法化、内容的规范化是该技术谋求长远发展的保障.技术起步的现阶段,纸质合同、一般电子合同与智能合约在不同方面发挥协作作用,会在未来一段时间内成为民事交往、商业交易的主要状态.     

利用新媒体加强高校党员理论学习的SWOT分析与策略建议

新媒体是信息社会发展的产物,具有促进社会各方面发展的优势因素,高校党员理论学习在新媒体时代的背景下更应积极引入相关因素,促进党务工作的建设,增强党员的党性觉悟.笔者采用SWOT分析法,对新媒体参与高校党员理论学习的优势因素、劣势因素、机遇、挑战进行分析研究,制定了SO、ST策略,以期对实践的发展有所贡献.     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.