Subjects: Library Science，Information Science >> Library Science submitted time 2024-05-15 Cooperative journals: 《农业图书情报学报》
Abstract： The scientific connotation, strategic considerations and practical ways of new quality productive forces have received wide attention from the political, academic and industrial circles. Cultivating and developing new quality productive forces means fundamentally changing the mode of production. It is necessary to grasp the practical direction of new quality productive forces from their scientific connotation and internal logic, and explore the scientific way of cultivating and developing the new quality productive forces from China’s national conditions. As an important engine of economic development in the new era, its connotation characteristics, development path, opportunities and challenges are worthy of further discussion. For this reason, seven experts were invited to share their perspectives. 1) The deep logic and realization path of the construction of new quality productive forces and high-quality data resources. This paper discusses in depth the background and connotation characteristics of the high-quality data resources, and analyzes the internal logic of the mutual promotion between high-quality data resources and the development of new quality productivity. It is proposed that the construction of high-quality data resources must implement the concepts of innovation, coordination, openness, credibility and sustainability, and follow the construction strategies of concept innovation, model innovation, structural innovation and technological innovation. 2) The theoretical logic and practical path of data elements empowering new quality productive forces. In the new era of green and intelligent development, there is a profound dialectical relationship between data elements and new quality productive forces, and a new situation of economic and social development is accelerated in the spiral ascent of complementarity. We should comprehensively build a data space governance model with clear data ownership, smooth data path, guaranteed data quality and orderly and standardized algorithm computing power, expand new quality production capacity and production factors with the goal of human-machine cooperation and promote sustainable economic and social development. 3) Accelerating the promotion of data rights. Data can act on new quality productive forces from the technical, factor and industrial dimensions, and accelerate the formation of new quality productive forces. The multiplier effect of data elements on new quality productive forces will involve many dimensions, levels and stages, the most important and fundamental of which is how to determine the ownership of data. The measures for speeding up the promotion of new quality productive forces are discussed, such as constructing the theory of property rights in accordance with the characteristics of data and the law of development of new quality productive forces, speeding up the clarification of the types and scope of data confirmation, and improving the supporting system of data confirmation. 4) Promoting China’s modernization path with Chinese-style digitization. Accelerating the promotion of Chinese-style digitization is not only the only way to realize Chinese-style modernization, but also the core to fully release new quality productive forces and build China’s asymmetric competitive advantage under the new situation. It is suggested that in the process of digitalization and informatization in China, the information resource management industry plays a vital role and bears the important responsibility of digital transformation. 5) Interpreting the mission of public libraries from the perspective of new quality productive forces. Since its establishment, public libraries have been based on the concept of enlightenment. Faced with the profound digital transformation of society, today’s public libraries need to further develop the potential of empowering the people in the field of digital economy and make them play an active role in the development of new quality productive forces. Public libraries need to further develop their potential to empower people in the field of digital economy, so that they can play an active role in the development of new quality productive forces. They should actively participate in data commercialization, promote the effective use of data elements and the efficiency of resource allocation, and enable more people to obtain and use data elements equally through open access and digital services. 6) The intelligent transformation of university libraries from the perspective of new quality productive forces. In the process of developing new quality productive forces, we should fully understand the profound meaning of new productive forces, based on the core tasks of providing a strong guarantee for the development of new quality productive forces in higher education, grasp the development opportunities, and realize the high-quality development of the industry. This paper explains the understanding of university libraries on the three key words of new quality productive forces, and proposes that the re-understanding and realization of library intelligence is an important starting point for the development of new productive forces. 7) To support information resource management discipline to accelerate the development of new quality productive forces. From the perspective of information resource management discipline, this paper analyzes several aspects of doing something under the rise of new quality productivity concept, including theoretical system, information resource guarantee, information analysis and consultation, scenario building, knowledge popularization and civic literacy cultivation. The content of academic evaluation, information policy, intellectual property rights, digital consumption behavior and other directions related to new quality productivity are also important directions that the discipline needs to pay attention to.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] It is the requirement of the present times to build an independent knowledge system of evidence-based digital humanistic paradigm with Chinese characteristics. [Method/Process] Based on the World 3 theory developed by Popper, this study defines the essence of digital humanities research as representing, revealing and reproducing the structure of the objective knowledge world. Furthermore, based on the paradigm theory developed by Kuhn, this paper deeply discusses the basic theoretical elements of the independent knowledge system of the evidence-based digital humanities paradigm with Chinese characteristics. In this paper, the carding of the elements of evidence-based digital humanities theory is carried out from the perspective of the scientific community of digital humanities research. That is to say, the research that adheres to the evidence-based ideology and method of digital humanity is identified as the same research community, and it is believed that evidence-based digital humanities will build a relatively independent knowledge system in the future. [Results/Conclusions] This paper argues that the combination of the basic principles of Marxism and the excellent traditional Chinese culture is the ideological basis of the independent knowledge system of evidence-based digital humanities with Chinese characteristics. The collective memory of the Chinese nation with a long history and its carrier constitute the cultural basis of the independent knowledge system. The rich ancient literature works have laid a solid literature foundation for the formation of the independent knowledge system of evidence-based digital humanities with Chinese characteristics. Under the guidance of mutual evidence between literature and history, bibliography with distinctive Chinese academic characteristics has laid a solid methodological foundation for the evidence-based digital humanistic with Chinese characteristics. Under the context of digital intelligence era, building an evidence-based digital humanities independent knowledge system with Chinese characteristics will not only be benefitial to improving the cultural self-confidence of the Chinese people, but also have an obvious important significance in providing the world with a distinctive cultural heritage and cultural memory solutions. In the face of the massive traditional Chinese cultural resources, especially the precious cultural heritage including ancient literature works, it is not only timely but also imperative to apply emerging natural language processing, artificial intelligence, machine learning and related advanced technologies, to carry out in-depth digital humanities research. The theoretical discussion conducted by this research is expected to benefit the construction of an evidence-based digital humanities independent knowledge system with Chinese characteristics.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] The research paradigm of digital humanities provides an opportunity for researchers to conduct evidence-based research based on second-hand resources. The second-hand evidence in the evidence-based digital humanities research mainly refers to the secondary evidence obtained by researchers through analysis of the original literature records. Academic papers are such an example of second-hand evidence and analysis of these papers enables us to be focused on the exploration, discussion and comprehension of the specific evidence. [Method/Process] This paper aims to shed light on the theoretical basis related to second-hand evidence based digital humanities research, and conduct an empirical analysis with Dunhuang wooden and bamboo slips of Han Dynasty. Through the coding analysis of 287 relevant research papers downloaded from the CNKI database, the reliability and validity of the research were tested, and a comprehensive analysis of the category system was conducted. On this basis, two independent coders systematically coded all academic papersby, and a coding system was formed with reliable reliability and validity. This coding system provided us a foundation to summarize the procedure of extracting the second-hand evidence from academic papers in the digital humanities research. [Results/Conclusions] This paper issued a three-stage and five- link procedure for second-hand evidence based digital humanity research. The "three stages" refer to the systematical literature retrieval, category formulation and comprehensive analysis of the second-hand evidence elements and the five links include evidence retrieval, reliability test, validity test, category construction and evidence element synthesis. The procedure developed by this research is expected to shed light on the knowledge organization of ancient literature works and lay a foundation for the digital humanities research based on the secondary resources like academic papers. Thus, based on the above procedure, the researchers in the digital humanities area are able to extract fruitful second-hand evidence from secondary resources (academic papers, for example) instead of acquiring initial evidence. This procedure may benefit the evidence-based digital humanity research because it is always a challenging task for individual researcher to access the initial research material like Dunhang wooden and bamboo slips of Han Dynasty. In summary, the paradigm constructed in this study has certain theoretical reference and practical guidance value for the construction of evidence-based digital humanities subject, and academic and discourse system. Thus, it is expected to benefit the construction of independent knowledge system of evidence-based digital humanities with Chinese characteristics.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Evidence-based approach has become an important research paradigm in such social research fields as management, education, economy, and law. In the research of digital humanities, how to obtain and process evidence from the original literature in order to effectively solve research problems is an important research topic. [Method/Process] This paper took the hierarchical social cognition theory as the theoretical basis for the evidence integration process of digital humanities research. From this perspective, the present research uses the theory of ecosystem for reference to integrate levels of evidence, the forms of evidence, evidences' carrier, information organization and the difference ways in which digital humanities researchers analyze the evidence as the same framework to shed light on the whole landscape of evidence-based digital humanities research. Furthermore, this study summarized the key value of evidence-based digital humanities research as to improve the validity of the evidence based on the research design theory and cognition theory. Due to the academic tradition of mutual verification between literature and history in digital humanities research, this paper also combined different evidence sources as different matrixes to integrate the evidence to demonstrate the specific evidence integration types of evidence-based digital humanities research. Based on the above research procedures, this paper also proposed a roadmap for future evidence-based digital humanities researchers to conduct more evidence synthesis related research from the perspective of integrating knowledge-based evidence and relational evidence. [Results/Conclusions] We put forward a hierarchical structure framework of the evidence-based digital humanities research ecosystem. Original evidence, initial processing evidence, secondary processing evidence, third processing evidence and the comprehensive evidence formulated five levels of this framework with a structure from the low level to the high level. Based on above theoretical framework, we concluded that coordination with validity and cognition as the theoretical motivation of the evidence integration in evidence-based digital humanities research. Systematic review and information organization are regarded as two instruments for evidence integration and the multiple mutual confirmation of various types of initial or secondary evidence is regarded as the practical tendency of evidence integration process in the evidence-based digital humanities research. Specifically, this research summarized two mutual confirmation evidence matrixes of the same evidence source and different evidence sources. The demonstration of evidence integration in evidence-based digital humanities research proposed in this paper is expected to benefit for building an independent knowledge system of evidence-based digital humanities with Chinese characteristics.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-31 Cooperative journals: 《农业图书情报学报》
Abstract： [Purpose/Significance] Evidence acquisition is one of the most critical factors affecting evidence-based digital humanities research. The first-hand evidence contained in the ancient literature works is an important way to carry out digital humanities research, and thus, the purpose of this research is to shed light on the evidence-based digital humanities research process based on the empirical analysis of Bao's Zhan Guo Ce, which is one of the most influential books in Chinese history. [Method/Process] In the face of rich and diverse Chinese ancient literature works, it is of theoretical and practical value to build an independent knowledge system with Chinese characteristics based on the evidence-based paradigm of digital humanities. For this reason, the present research used the natural language processing (NLP) method to analyze Bao's Zhan Guo Ce in Jiayan Library, which is tailored for the NLP analysis of Chinese ancient literature works. By using co-word analysis, this research comprehensively discusses how digital humanities researchers carry out systematic research based on first-hand evidence from ancient literature via word frequency analysis, visualization of co-words, cluster analysis, centrality degree analysis, etc. Social network analysis (SNA), NetworkX algorithm and co-word visualization procedure are applied to give us insight into how to extract the first-hand evidence from ancient literature works. [Results/Conclusions] The key results include a procedure on how to extract first-hand evidence from ancient literature works like Bao's Zhan Guo Ce, in digital humanities research via Python. Specifically, the procedure includes basic word frequency indicators, a tool of removal of stop words, process of recognition and removal of ambiguous words. Furthermore, this study also takes Bao's Zhan Guo Ce as an example to show the basic procedure of analyzing first-hand evidence in digital humanities research by using a series of statistical analysis methods and indicators such as co-word network visualization, clustering coefficient, centrality degree, and structural hole recognition. The procedures, tools and methods demonstrated in this study are expected to provide reference for completing the evidence-based digital humanity research paradigm of first-hand evidence. Thus, the procedures, tools, statistical indicators and algorithm demonstrated in this research are expected to provide a foundation for building an independent knowledge system of evidence-based digital humanities with Chinese characteristics.
Subjects: Psychology >> Social Psychology submitted time 2023-03-27 Cooperative journals: 《心理学报》
Abstract： Cognitive diagnostic assessment (CDA) focuses on evaluating students' advantages and disadvantages in knowledge mastering, providing an opportunity for individualized teaching. Therefore, CDA has attracted attention of many scholars, teachers, and students at domestic and overseas. In CDA and a large number of standardized tests, multiple-choice (MC) are typical item types, which have the advantages of not being affected by subjective errors, improving test reliability, being easy to review, scoring quickly, and meeting the needs of content balance. To fulfil the potential of MC items for CDA, researchers proposed the MC-cognitive diagnosis models (MC-CDMs). However, these MC-CDMs pertain to parameter methods, which need a large sample size to obtain accurate parameter estimation. They are not suitable for small samples at class level, and the MCMC algorithm is very time-consuming. In this study, three nonparametric MC cognitive diagnosis methods based on hamming-distance are proposed, aiming at maximizing the diagnostic efficacy of MC items and being suitable for the diagnosis target of a small sample. Simulation study 1 considered four factors: sample size (30, 50, 100), test length (10, 20, 30), item quality (high and low), and the true model (MC-S-DINA1, MC-S-DINA2). Three nonparametric MC methods and two parametric models were compared. The results showed that in most conditions, the pattern accuracy rates and average attribute accuracy rates of the nonparametric MC method(dh−MC{{d}_{\text{h}-\text{MC}}}) were higher than those of parametric models, especially when the test length was short or item quality was low. In a real test situation, the quality of different items in a test may vary greatly. Based on this, simulation study 2 set the first half of the items at high quality and the remaining items at low quality. The results showed that the pattern accuracy rates and average attribute accuracy rates of the nonparametric MC method (dph−MC{{d}_{\text{ph}-\text{MC}}}) were higher than those of the parametric models in all conditions. In an empirical study, the nonparametric MC methods and the parametric models were used to analyze a set of real data simultaneously. The results showed that nonparametric MC methods and parametric models presented high classification consistency rates. Furthermore, the dph−MC{{d}_{\text{ph}-\text{MC}}} method had satisfactory estimations. In sum, dh−MC{{d}_{\text{h}-\text{MC}}} was suitable in most conditions, especially when the test length was short or the item quality was low When the quality of different items was quite diverse, dph−MC{{d}_{\text{ph}-\text{MC}}} was a better choice compared with parameteric approaches.
Subjects: Library Science，Information Science >> Information Science submitted time 2022-11-27 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/Significance] This study aims to address two research questions: First, have digital divides narrowed down in the approximately ten years of time span Second, are there any significant changes to themechanisms of digital divides across the almost ten vears? [Method/Process] To study the cross-temporal changesin the digital divide based on questionnaire data collected through solid fieldwork in 2012 and 2020. [Result/Conclusion] This paper finds that the gaps in digital divides , including three dimensions of access, use and Internet ac.tivities , have narrowed in China. and the related formation mechanisms of the three dimensions show some diachronichanges. These findings further confirm that the gap of my country's digital divide is shrinking. The relevant conclu.sions of this study not only help to understand the distribution of the digital divide in my country , but also help policmakers to formulate targeted digital governance guidelines based on the formation mechanism of the digital divide byanalyzing the time changes of the formation mechanism of the digital divide.
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