大模型时代科学数据开放共享的"麦当劳化"审思:异化表征与矫治策略OACHSSCD

[Purpose/Significance]While digital intelligence technology empowers the opening and sharing of scien-tific data in the era of large model,it also brings risks and challenges of McDonaldization.While pursuing extreme rationa-lity,the paradox of"rational irrationality"appears,which leads to its deviation from the original intention of serving scien-tific innovation.Exploring this alienation phenomenon and correction strategies has important theoretical and practical sig-nificance for building a healthy and sustainable open and shared ecology of scientific data.[Method/Process]Based on George Ritzer's McDonaldization theory,according to the normative research paradigm,this paper systematically exa-mined the alienation representation of opening and sharing of scientific data in the era of large model across four dimensions:efficiency,computability,predictability and control,and puts forward the correction strategies.[Result/Conclusion]In view of the four major alienation phenomena,namely,efficiency first,computable hegemony,predictable rationality,and control enhancement,this paper proposes systematic correction strategies:implementing a combination of enhanced meta-data standard construction and intelligent packaging tool development,and establishing a mechanism of data contribution certification and rights feedback based on the Data for Science principle;developing a value evaluation system for multiple dimensions,and designing a hybrid enhanced evaluation model of human-in-the-loop;developing a multi-source hetero-geneous data fusion architecture,and creating a dynamic three-dimensional illusion governance system;building a cre-dible data space for multi-subject value co-creation,and establishing an international data governance collaboration system based on multilateral consensus.The innovative contribution of this paper lies in:from the perspective of discipline,through systematic analysis and interdisciplinary theoretical dialogue,this paper provides a new dimension from the per-spective of sociology for enriching the research of opening and sharing of scientific data,scientific data governance and eco-logical construction;from a practical perspective,this paper uses the McDonaldization theory as an explanatory analytical framework,applies it to the critical review of opening and sharing of scientific data in the era of large models,and tries to balance the tension between opening and sharing of scientific data and technical rationality through symptomatic strategies,and advocates a collaborative governance path that returns to the nature of science.Subject to the research paradigm and length,this paper also has inevitable limitations,such as the failure to explore the differences in the McDonaldization re-presentation of different disciplines in the practice of scientific data sharing,the failure to distinguish the alienation boun-dary of opening and sharing of scientific data,and the lack of verification and supplement of more empirical cases.These are also the force points for the author to continue to explore and optimize in the future.