农业图书情报学报 ›› 2022, Vol. 34 ›› Issue (11): 38-47.doi: 10.13998/j.cnki.issn1002-1248.22-0893

所属专题: 数字人文

• 自主知识体系建构视域下的数字人文循证范式研究专题 • 上一篇    下一篇

循证数字人文证据整合的基本框架与具体流程研究

尚宏利1, 张思洁1, 魏志鹏2,3, 杨克虎2,3, 周文杰1,2,*   

  1. 1.西北师范大学 商学院,兰州 730070;
    2.兰州大学 循证社会科学交叉创新实验室,兰州 730030;
    3.兰州大学 基础医学院循证医学中心,兰州 730030
  • 收稿日期:2022-10-30 出版日期:2022-11-05 发布日期:2023-01-19
  • 通讯作者: *周文杰,教授,西北师范大学商学院,兰州大学循证社会科学交叉创新实验室,兼职教授,研究方向为信息社会问题。Email:wj_lp@sina.com
  • 作者简介:尚宏利,讲师,西北师范大学商学院。张思洁,硕士研究生,西北师范大学商学院。魏志鹏,博士研究生,兰州大学循证社会科学交叉创新实验室,兰州大学基础医学院循证医学中心。杨克虎,教授,兰州大学循证社会科学交叉创新实验室、兰州大学基础医学院循证医学中心。
  • 基金资助:
    国家社会科学基金重大项目“循证社会科学的理论体系、国际经验与中国路径研究”(19ZDA142)

Evidence Integration Framework of Evidence-based Digital Humanities

SHANG Hongli1, ZHANG Sijie1, WEI Zhipeng2,3, YANG Kehu2,3, ZHOU Wenjie1,2,*   

  1. 1. Business School of Norwest Normal University, Lanzhou 730070;
    2. Cross-innovation Laboratory of Evidence-based Social Science of Lanzhou University, Lanzhou 730030;
    3. Evidence-based Medical Center of School of Basic Medical Sciences of Lanzhou University, Lanzhou 730030
  • Received:2022-10-30 Online:2022-11-05 Published:2023-01-19

摘要: [目的/意义]循证方法已成为管理、教育、经济和法律等社会领域的重要研究范式。在数字人文研究中,如何从原始文献资料中获取和加工证据,以便有效地解决研究问题,这是一个具有重要的理论和现实意义的研究议题。[方法/过程]本文以社会认识层次论作为循证数字人文证据综合的理论基础,解析了循证数字人文证据生态系统的层次结构,并以原始文献和二手文献中的原始证据与二手证据的综合过程为例,演示了多元互证的具体流程。[结果/结论]本文提出了循证数字人文的证据层级结构,并在此基础上从效度和认知两个方面探讨了循证效度协同问题。基于前序研究,本文还对循证数字人文的多元互证模式与途径进行了归纳梳理。本文所提出的循证数字人文研究中证据整合的范式,有助于为构建具有中国特色循证数字人文自主知识体系提供参考。

关键词: 循证数字人文, 多元互证, 证据整合, 古籍文献

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.

Key words: evidence-based digital humanities, multiple mutual proofs, evidence integration, ancient literature works

中图分类号: 

  • G250.7

引用本文

尚宏利, 张思洁, 魏志鹏, 杨克虎, 周文杰. 循证数字人文证据整合的基本框架与具体流程研究[J]. 农业图书情报学报, 2022, 34(11): 38-47.

SHANG Hongli, ZHANG Sijie, WEI Zhipeng, YANG Kehu, ZHOU Wenjie. Evidence Integration Framework of Evidence-based Digital Humanities[J]. Journal of Library and Information Science in Agriculture, 2022, 34(11): 38-47.