知识贡献、身份地位与荣誉归属:中文情境下的合作署名规律研究
A Study on the Rules of Co-Authorship in Chinese Context:Intellectual Contributions,Status and Credits
刘宇 1伍丹炜 2魏瑞斌3
作者信息
- 1. 云南大学新闻学院
- 2. 云南大学历史与档案学院
- 3. 安徽财经大学管理科学与工程学院
- 折叠
摘要
科研合作在推动科学研究中的重要作用日益凸显,而科研合作中的荣誉分配问题却未能得到学界充分的关注,研究合作论文的署名规律问题有利于从微观角度揭示科研合作中的荣誉分配机制.文章以《图书情报工作》2015-2021年间发表的合作论文为样本,采用逻辑回归方法从作者的知识贡献和身份地位两个角度分析影响作者分配署名荣誉的因素.研究发现:研究设计、论文撰写与论文定稿三种知识贡献以及作者的身份地位对其荣誉归属有显著影响;论文指导、数据收集和技术支持在控制作者的身份地位后对荣誉归属的影响效应不再显著.研究结果表明:国内科研合作中的荣誉分配受到知识贡献和身份地位的共同作用,相关机构在科研评价政策制定过程中应充分考虑作者身份地位的差异对荣誉分配的影响,以建立良好的科研合作生态环境.
Abstract
The importance of scientific collaboration has become evident in promoting scientific research,and its credit allocation has not received sufficient attention from the academic community.Studying the rules of co-authorship is conducive to revealing the mechanism of contributorship and credit allocation in scientific collaboration from a microscopic perspective.Using a sample of co-authored papers published in the journal Library and Information Service from 2015 to 2021,this article analyzes the factors influencing co-authorship credit allocation in terms of intellectual contribution and status using logistic regression.The study suggests that three intellectual activities,i.e.research design,writing the manuscript,and finalizing the paper,and author status have a significant impact on credit allocation;while the effect of writing supervision,data collection,and technical support is no longer significant when authorship status is controlled.The results show that the credit allocation in domestic scientific collaboration is jointly influenced by intellectual contributions and status;and relevant institutions should fully consider the impact of differences in author status on the credit allocation in the process of formulating scientific evaluation policies,in order to create a good ecological environment for scientific collaboration.
关键词
知识贡献/身份地位/荣誉归属/署名规律Key words
intellectual contribution/status/credit allocation/rule of authorship引用本文复制引用
基金项目
国家社会科学基金一般项目(20BTQ019)
出版年
2024
NETL
NSTL
万方数据