当卓越停止产生知识：一名实践者对研究资助的观察
When Excellence Stops Producing Knowledge: A Practitioner's Observation on Research Funding
AI总结：
本文通过实践者视角揭示研究资助体系中卓越与知识生产的脱节现象，探讨提案写作专业化、AI辅助申请及评估人员短缺等趋势对系统的影响。
摘要：
在参与竞争性研究资助近四十年后——作为申请人、协调人、评估者和评审团成员——我看到了一种结构性悖论：许多参与者认识到当前系统正接近其功能极限，但大多数改革措施反而加剧而非缓解了根本动态。本文记录了卓越如何通过评估中日益依赖可表示性而与知识生产脱节。讨论聚焦于两个特别明显的领域：竞争性基础研究资助和大型欧盟联合项目。三种加速趋势被探讨：通过专业顾问专业化提案写作、AI辅助申请的兴起，以及评估人员短缺迫使评审团越来越依赖远离实际研究领域的评审员。这些观察不是作为外部批评，而是作为内部经历，希望命名一个广泛经历但很少被表达的模式，以促进更有建设性的方向。
英文摘要：
After almost four decades of participating in competitive research funding -- as applicant, coordinator, evaluator, and panel member -- I have come to see a structural paradox: many participants recognize that the current system is approaching its functional limits, yet most reform measures intensify rather than alleviate the underlying dynamics. This paper documents how excellence has become decoupled from knowledge production through an increasing coupling to representability under evaluation. The discussion focuses on two domains in which this is particularly visible: competitive basic research funding and large EU consortium projects. Three accelerating trends are examined: the professionalization of proposal writing through specialized consultants, the rise of AI-assisted applications, and an evaluator shortage that forces panels to rely on reviewers increasingly distant from the actual research domains. These observations are offered not as external critique but as an insider account, in the hope that naming a widely experienced but rarely articulated pattern may enable more constructive orientation. Keywords: Research funding, Excellence, Evaluation, Goodhart's Law, Professionalization, AI-assisted proposals, Peer review crisis
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
