用区块链和AI重构同行评审，让学术评价公开可追溯。
Peer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
- 以区块链确保评审记录不可篡改，身份绑定提升责任意识
- 通过AI迭代整合评论，实现知识演进全程可追踪
- 适合关注学术透明与可信度的研究者，尤其计算科学与人文学科
本文将同行评审重新定义为结构化的公开评论。传统学术评价受限于匿名性、延迟性和审查机制。我们提出一种透明、身份关联且可复现的学术评估体系，基于开放评论构建。利用区块链实现不可更改的审计轨迹，结合AI进行迭代式内容合成，设计出激励知识贡献、捕捉认知演化并支持声誉动态可追溯的框架。该模型适用于从计算科学到人文学科的多个领域，将学术知识重塑为持续演进的过程，而非静态资质认定。
原文摘要 · Abstract (English)
This paper reconceptualises peer review as structured public commentary. Traditional academic validation is hindered by anonymity, latency, and gatekeeping. We propose a transparent, identity-linked, and reproducible system of scholarly evaluation anchored in open commentary. Leveraging blockchain for immutable audit trails and AI for iterative synthesis, we design a framework that incentivises intellectual contribution, captures epistemic evolution, and enables traceable reputational dynamics. This model empowers fields from computational science to the humanities, reframing academic knowledge as a living process rather than a static credential.
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