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The Generative Logic and Governance Path of NIMBY Syndrome of Senior Nursing Institutions Embedded in Communities WEI Zhihui，ZI Xianbo JIANGHAN ACADEMIC    2024, 43 (6): 94-104.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.009 Abstract （786）      PDF（pc） （1425KB）（3111）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Impact of Digital New Infrastructure on the Resilience of Industrial Chain CHEN Haihan，XIE Yize JIANGHAN ACADEMIC    2024, 43 (6): 48-59.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.005 Abstract （245）      PDF（pc） （1371KB）（2046）       Knowledge map    Save As the underlying structure of high-quality economic development，digital new infrastructure is strategically significant for enhancing the resilience of China’s industrial chain and building a modern industrial system. The impact of digital new infrastructure on the resilience of industrial chain and its mechanism is discussed theoretically，and empirically，the relationship between the two is tested based on the panel data of 30 provinces from 2011 to 2022. It is found that new digital infrastructure significantly promotes the resilience of industrial chain. Mechanism analysis finds that digital new infrastructure boost the resilience of industrial chain by improving the stock of innovative human capital and the development level of digital finance. In terms of threshold effect，the impact of digital new infrastructure on the resilience of industrial chain has a marginal effect which displays the threshold feature from increasing to decreasing. Heterogeneity analysis shows that the promotion effect of new digital infrastructure on industrial chain resilience is stronger in the eastern region and the region with high science and technology investment level；in the sub-dimensions of digital new infrastructure，the impacts of information infrastructure and innovation infrastructure on the resilience of industrial chain are evident，while the impact of integration infrastructure is not evident. Related Articles | Metrics | Comments（0）

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Large Language Model and New Changes in World Language Life：Based on Study of ChatGPT ZHANG Yongchen，ZHAO Ronghui JIANGHAN ACADEMIC    2024, 43 (6): 37-47.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.004 Abstract （203）      PDF（pc） （1308KB）（1631）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Formation Mechanism，Cultural Symptoms and Guiding Strategies of Virtual Idol Worship DENG Zhen JIANGHAN ACADEMIC    2025, 44 (2): 5-12.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.02.001 Abstract （192）      PDF（pc） （1238KB）（1389）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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McDonaldization of Takeaway Service：Manifestation，Generative Mechanism，and Multiple Governance XU Jingbo，ZHAO Xin JIANGHAN ACADEMIC    2024, 43 (2): 45-57.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.02.005 Abstract （171）      PDF（pc） （1282KB）（1363）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Generative Artificial Intelligence and Copyright Law：Legal Challenges and Prospects LI Yilin JIANGHAN ACADEMIC    2024, 43 (6): 5-15.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.001 Abstract （379）      PDF（pc） （1374KB）（1226）       Knowledge map    Save Based on the learning of existing works，generative AI greatly reduces the cost of human creation.While existing laws can answer most of the copyright-related questions posed by generative AI，the answers may not match the expectations of creators affected by generative AI. In particular，judgments on the principle of fair use are different in courts and legal cases of different countries. In addition to the learning phase of a generative AI，the output it produces may also be copyrighted. Since the relationship between AI generated works and human authors is complex and the digital content is globally distributed，copyright rules related to generative AI need to be updated at the national and international levels，rather than relying solely on judicial precedents for clarification. Related Articles | Metrics | Comments（0）

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Paradox of“Hu Huanyong Line”from the Perspective of Population Spatial Distribution CHENG Qianchang JIANGHAN ACADEMIC    2024, 43 (2): 69-82.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.02.007 Abstract （385）      PDF（pc） （1298KB）（1182）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Harakutu：Ruins as the Aesthetic Power of Lament in Memory and Emotional Dependence LI Haiying JIANGHAN ACADEMIC    2025, 44 (1): 56-68.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.006 Abstract （116）      PDF（pc） （1431KB）（1006）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Exploration of Poetic Form and Art of Mythological Poetry：Starting from Song Lin’s“Return to the Cultural Context of Mother Tongue”in Biography of The Book of Mountains and Seas NIU Haoyu JIANGHAN ACADEMIC    2024, 43 (6): 73-83.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.06.007 Abstract （163）      PDF（pc） （1369KB）（962）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Identification of the Subject of AI Infringement Liability：Taking Autonomous Driving as Example ZHANG Jiaji，TIE Yiran，ZHOU Xin JIANGHAN ACADEMIC    2025, 44 (1): 107-117.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.010 Abstract （422）      PDF（pc） （1422KB）（822）       Knowledge map    Save Whether artificial intelligence（AI）can enjoy the status of legal subject is the root of solving the realistic problem of ascribing the subject of liability for AI tort liability. From the angle of legal philosophy， the paper creatively constructs the hierarchical standard system of a legal subject and its contingent conditions，and then puts forward the hierarchical judgment system of entrusting the legal subject status. From the abstract to the concrete，the problem of ascribing the subject of liability for AI tort liability is studied by using this system as the judgment standard. Since weak artificial intelligence cannot become a legal subject，the idea of legal status representative is put forward on the basis of the compulsory insurance mechanism of the production side. Strong artificial intelligence，according to the different sources of its self-consciousness，is divided into“machine ethics”and“human emotion.”The former cannot become a legal subject，but the human-designed“machine ethics”can effectively reduce the probability of damaging events，and therefore，the idea of legal status representative still works；the latter should not become a legal subject，for otherwise，it will not satisfy the value judgment，or even relevant discussion will be meaningless. Under the premise that artificial intelligence is not regarded as a legal subject，and based on China’s current law and motor vehicle liability insurance mechanism，the ascription of the subject of liability for AI tort liability is clearly defined from theory to practice，drawing on foreign legislative experience and cases. It helps to improve the scheme of ascribing the subject of liability for AI tort liability in the field of automatic driving with Chinese characteristics. Related Articles | Metrics | Comments（0）

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How the Court’s President-Presiding Judge Review System Avoids Periodic Problems in Trial Supervision and Administration HAO Shikun，GUO Shasha JIANGHAN ACADEMIC    2024, 43 (4): 66-76.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.04.007 Abstract （521）      PDF（pc） （1281KB）（606）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Multidimensional Drivers and Key Factors of Green Technological Innovation of Enterprise：Evidence Based on Machine Learning PENG Ying，ZHANG Ziye JIANGHAN ACADEMIC    2025, 44 (1): 83-94.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.008 Abstract （350）      PDF（pc） （1607KB）（585）       Knowledge map    Save Green technological innovation is key to the green and low-carbon development，which takes into account both economic and environmental benefits. Heavy polluting A-share listed enterprises from 2011 to 2020 are sampled；the capacity of different multi-dimensional green technological innovation motivations in predicting green technology innovation behavior is explored by using the parametric method， non-parametric method，and ensemble learning method in machine learning. The purpose is to identify the main motivation affecting enterprises to carry out green technology innovation and identify features of the most predictive quality. The results show that compared with the digital development motivation and the internal governance motivation，the external supervision motivation is the main driver for the green technology innovation behavior of enterprises；the ability of ensemble learning method to predict green technology innovation behavior is better than that of parametric and non-parametric research methods，and the support vector machine has the strongest interpretation ability and the highest prediction accuracy；and among the multi-dimensional motivation features，digital finance，corporate social responsibility，and government environmental protection subsidies have the best predictive effect on green technology innovation behavior. Applying the machine learning method can effectively identify the key factors of green technology innovation in enterprises，and is enlightening for the sustainable development of enterprises and the construction of ecological civilization. Related Articles | Metrics | Comments（0）

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Formation Mechanism and Social Influence of Youth’s Disconnection with Relatives XU Jiaming，XU Ting JIANGHAN ACADEMIC    2025, 44 (1): 27-37.   DOI: 10.16388/j.cnki.cn42-1843/c.2025.01.003 Abstract （281）      PDF（pc） （1528KB）（584）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Disability Study：Historical Development，Theoretical Hypothesis，and Critical Approach MENG Fan JIANGHAN ACADEMIC    2024, 43 (5): 72-83.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.05.008 Abstract （183）      PDF（pc） （1367KB）（553）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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Structural Characteristic and Optimization of Chinese Local Governments’Policy Networks for Combining Medical and Elderly Cares：Based on Provincial Government Policy Texts from 2014 to 2022 LI Wenjun，XU Xinyu JIANGHAN ACADEMIC    2024, 43 (2): 58-68.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.02.006 Abstract （178）      PDF（pc） （2999KB）（518）       Knowledge map    Save Promoting the combination of medical and elderly care is an important measure to optimize the supply of elderly health and elderly care services in China. It is also an important way to actively respond to the aging of population and bolster the sense of gain and satisfaction of the aged people. The Ucinet6.0software is used to build a two-mode network and a one-mode network. A whole network analysis is done for every region of China and an ego-centered network analysis is done for their policy tools；the purpose is to explore the structure and characteristic of regional overall policy network combining medical and nursing policies formed by the local governments at different stages，as well as the network and characteristic oftheir use of policy tools at different stages. The results show that in the provincial governments’policies on the combination of medical and elderly care， mandatory tools are dominant and mixed tools are supplementary，while the function of voluntary tools is gradually weakened；inter-provincial government links are declining year by year；the policy network center is not unique，and the network power position is not unique；the late adjustment and innovation of policies combining medical and elderly cares are insufficient in some provinces；“family and community”occupy the central position of network in different stages；and the network power status of policy instruments presents phased characteristics. Therefore，in order to optimize the combination of medical and elderly-care policies in China，the use of voluntary policy tools can be increased and the use of policy tools can be better balanced；inter-regionally，policies can be formed for cooperation and the linkage of medical and nursing resources；and the construction of a longterm policy system should be strengthened to integrate local medical and nursing cares. Related Articles | Metrics | Comments（0）

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Evolution and Improvement of the National Lingua Franca Ability of Ethnic Minorities：Status of Dulong Ethnic Group and Contrast before and after Poverty Alleviation HUANG Xingya，FANG Yin JIANGHAN ACADEMIC    2024, 43 (5): 92-102.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.05.010 Abstract （216）      PDF（pc） （1415KB）（465）       Knowledge map    Save In order to explore the changes of the Tulong ethnic group’s national lingua franca ability before and after the alleviation of their poverty，questionnaire surveys were done respectively in 2016 and in 2023 for comparison，and the SPSS19.0 software was used to statistically analyze the differences of the respondents’national lingua franca ability in social variables such as gender，age，and education level.The results show that after the poverty alleviation，the Drungs’listening and speaking ability has gained marked improvement，especially among the preschoolers and the middle-aged and elderly people. A combination of factors have been working for the result including the development of education，increased exposure to languages， the widespread use of media such as smartphones， and their emotional identification with the national language. Education makes the greatest contribution to the improvement of national lingua franca ability of preschool children and groups enjoying compulsory education. When the education level reaches senior high school，the contribution of education to the improvement of national lingua franca ability gradually weakens. Hence，the core audience for the promotion of national lingua franca is the farming community over 18 years old with an education level below senior high school. In order to improve the national lingua franca ability of minority nationalities，it is necessary for parents， schools，and governments to make efforts. Related Articles | Metrics | Comments（0）

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The Influence of Anthropomorphic Level of Robot Appearance on Customer’s Acceptance Intention：EmpiricalAnalysis Based on Different Service Scenarios LI Yongcheng，WANG Qian JIANGHAN ACADEMIC    2024, 43 (2): 16-24.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.02.002 Abstract （201）      PDF（pc） （1440KB）（452）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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The Dimensional Construction of Literary Context and Its Theoretical Integration XU Jie JIANGHAN ACADEMIC    2024, 43 (4): 96-106.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.04.010 Abstract （170）      PDF（pc） （1363KB）（429）       Knowledge map    Save The theoretical construction of a contextual poetics is consistent with the reality of literature and art in the multi-media era，and also with the academic trend of literature and art theories in the 21st century. Defining the concept of literary context stipulates the basic connotation of its dimension construction，that is，its relationship，meaning，and field. The iteration of the concept of context in Chinese and Western literary theories has formed four internal dimensions of literary context：The intratextual context emphasizes the relatively independent context domain formed by the organic nature of the internal structure of literary works；situational context is concerned with the“scene”dimension when literary meaning is generated；world context refers to the non-linguistic dimension related to the value of literary works；and inter-contextual context is the relevant compositional，variable，and relational context formed between different context dimensions. The relationship between the aforementioned context dimensions is not one like a“joint，”but one like the“flowing water.”This relationship can be effectively supported by the ontology of Chinese classical poetics，which emphasizes wholeness，life，and intuition. Related Articles | Metrics | Comments（0）

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An International Comparative Study of Fertility and Population Policy LUO Mengfan JIANGHAN ACADEMIC    2024, 43 (3): 26-34.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.03.003 Abstract （448）      PDF（pc） （1544KB）（401）       Knowledge map    Save Related Articles | Metrics | Comments（0）

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A Metaphorical Cognitive Interpretation of Causes of Obscurity in Modern Poetry LI Xinshi JIANGHAN ACADEMIC    2024, 43 (2): 98-108.   DOI: 10.16388/j.cnki.cn42-1843/c.2024.02.010 Abstract （232）      PDF（pc） （1269KB）（396）       Knowledge map    Save Related Articles | Metrics | Comments（0）