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Table of Content

    28 June 2025, Volume 5 Issue 2

    Digital Humanities and Digital Publishing: An Analytical Framework and Integration Mechanisms

    Hu Yunyi
    2025, 5(2):  3-15. 
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    Digital Humanities and Digital Publishing: An Analytical Framework and Integration Mechanisms The rapid development of digital technologies has profoundly impacted the research and practice of both Digital Humanities (DH) and Digital Publishing (DP). This article aims to systematically explore the relationship between these two fields, their mechanisms for deep integration, and the new paradigms emerging from their convergence. Adopting a broad definition of digital publishing, the paper first illustrates how the unique disciplinary stance and values of DH provide a distinctive theoretical lens for examining DP. Based on this, it constructs and applies a four-dimensional analytical framework—encompassing "characteristics/features,""roles/functions,""methods/forms," and "processes/workflows"—to systematically reveal the integration pathways and interactive mechanisms between the two in areas such as content production, dissemination forms, knowledge organization, and ethical regulation. The explanatory power of this framework is further validated through case studies in academic publishing, cultural heritage preservation, and educational popularization, identifying "publishing-ization" as a key mechanism for transforming DH outcomes into DP products. The study concludes that the fusion of DH and DP signifies a fundamental shift from the delivery of traditional, static knowledge products to the evolution of a dynamic, open knowledge circulation network involving multiple participants. While their integrated development faces challenges in technology, talent, and copyright ethics, it also holds significant opportunities driven by policy and market forces. This research offers a systematic analytical framework to deepen the theoretical understanding and practical advancement of both digital humanities and digital publishing.
    Computer Historical Game Civilization VII and Tripartite Periodization on Human Civilization History
    Pang Hao
    2025, 5(2):  16-30. 
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    The 2025 historical game Civilization VII abandoned the traditional periodization model of human civilization history used in previous installments of the Civilization series, opting instead for a triad historical division: the "Classical Age," the "Age of Exploration," and the "Modern Age." This shift presents an opportunity to delve deeper into the nature of triad historical periodization. By examining how researchers and historical game designers employ, reject, or modify triad periodization, the article demonstrates that while the traditional triad of "Ancient," "Medieval," and "Modern" is no longer dominant, other forms of triad historical periodization remain vibrant. This vitality stems from the fact that triad periodization is more concise, flexible, and grounded in a shared understanding among both scholars and general public. Additionally, with the gradual rise of "historical game studies," questions such as how to study historical games and why they should be studied have become important academic topics. The article argues that research on historical games can be integrated into the study of historiography, fostering greater dialogue and interaction with historical scholarship.
    Digital Archaeological Research on the Salt Industry Site of Yanjingxia in Wulong, Chongqing
    Zou Qiushi, Niu Yingbin, Song Haichao
    2025, 5(2):  31-44. 
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    The Salt Industry Site of Yanjingxia in Wulong,Chongqing, possesses a rich historical legacy of salt production, which holds substantial significance for the study of ancient handicraft production, regional economy, and social development. This paper provides a detailed account of the digital archaeological practices employed at the site, achieving comprehensive data collection, virtual reconstruction, and spatial analysis through the integrated application of digital technologies such as three-dimensional reconstruction and geographic information systems (GIS). The implementation of digital archaeology has facilitated an in-depth exploration of the historical and cultural significance of the Yanjingxia Salt Industry Site, offering an innovative approach to the preservation, research, and presentation of the salt industry site. Furthermore, it serves as a reference model for the digitization of similar cultural heritage sites.
    Recognition of Chu Dynasty characters in Warring States based on Deep Ensemble Learning
    Chen Chao, Li Hezi, Yang Zekun
    2025, 5(2):  45-58. 
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    As an important writing material, the interpretation of Chu Jian and silk has always been the key research direction of ancient philology. However, at present, the Chu system of bamboo and silk text interpretation mainly relies on artificial means to analyze the single character form, and there is a lack of computer vision technology for font recognition of massive text plates. Aiming at the difficulty of image recognition of a large number of Chu script and silk text, this paper proposes an integrated learning strategy based on image classification method for Chu script and silk text, which is not limited to the microscopic perspective of single deep neural network model and single text image analysis, combined with the inherent characteristics of Chu script and silk text. Different deep learning networks were used to extract the common morphological features of Chu Jian and silk text images, and the final classification results were obtained in the form of voting, and a technical framework for automatic and efficient recognition of massive Chu Jian and silk text images was constructed. The framework is applied to recognize the text images in some unearthed silk materials with an accuracy of 96.72% ,which fully proves the feasibility and effectiveness of the framework and provides a new way for the study of ancient Chinese characters.

    Matching Computational Analysis and Human Experience: Performative Arts and the Digital Humanities

    Jan Hendrik Bakels, Matthias Grotkopp, Thomas Scherer, Jasper Stratil, Trans. Zhang Jiaming, Chen Dongrui
    2025, 5(2):  59-87. 
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    This article presents a framework that reconciles the requirements of computational methods with a qualitative, phenomenological approach to the analysis of audiovisual media. In its temporality and multimodality we treat audiovisual media as exemplary with regard to the wider field of performative arts and their analysis in digital humanities approaches. First, we argue in favor of grounding digital methodology explicitly in scholarly, theoretical approaches to the human experience of performative arts and outline a qualitative approach to compositional patterns and dynamics of affect in audio-visual media. To demonstrate this approach, an exemplary scene analysis highlights the specifics of analyzing experiential qualities based on micro -level descriptions of compositional structures. Eventually, the main body of the article spells out three central challenges with regard to this use of computational tools:1.) recasting common film analytical vocabulary into a machine readable semantic ontology; 2.) setting up a systematic and applicable annotation routine that is based on the developed semantic ontology and allows for the interpersonal and consistent description of larger corpora; 3.) developing visualizations and query tools that enable the identification and tracing of compositional patterns within complex sets of annotation data. The article concludes by demonstrating the benefits of visualized annotation data by taking up the exemplary analysis sketched out earlier and, ultimately, reflects upon the implications of the outlined AdA filmontology as a programmatic starting point to addressing intersubjective bases of experience in the wider field of digital humanities.

    “Minna de Honkoku”: A Crowdsourced Transcription Platform for Premodern Japanese Materials Based on Collaborative Learning
    Yuta Hashimoto, Junzo Omura, Yasuyuki Kano, Ichiro Nakanishi, Miki Hamano, Trans. Jiang Hui
    2025, 5(2):  88-109. 
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    This paper introduces Minna de Honkoku, a citizen-participation-based transcription platform for premodern Japanese materials. Initially launched in 2017 as a collaborative transcription project for historical earthquake records, the platform was significantly updated in 2019 and expanded to cover a broader range of Japanese historical sources. Since the transcription of such materials requires deciphering kuzushiji (cursive script), Minna de Honkoku incorporates into its system design a learning process in which participants collaboratively acquire the skills needed for deciphering. This approach enables wide participation, sustains motivation, and enhances participants' skills. In addition, the system offers AI based support tools capable of automatically recognizing characters at the individual character or image level to assist with deciphering difficult kuzushiji. As of the current version, approximately 4,100 users have contributed to the transcription of over 2,300 items, totaling more than 41 million characters.

    Summary of the Symposium on “Digital Confucian Classics”
    Fang Shuyi
    2025, 5(2):  123-128. 
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    On March 9,2025,the symposium on "digital Confucian Classics" was held in Renmin University of China. It was the first in-depth discussion on the development direction of digital Confucian classics studies. Participants engaged in cross-disciplinary dialogue on its connotation, positioning, goals, and development path, for reaching a consensus to advance this work, and outlining its tasks, potential forms, and challenges. It also featured multidisciplinary reflections on the existing digital platforms for ancient books, and proved the significance of constructing a specialized platform for digital Confucian classics studies. It further proposes some preliminary platform construction suggestions, and emphasize that platform design must always be consistent with the demands of humanities research.