AI, Open Platforms, and the Epistemic Future of Peer Review
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| Natura: | Recurso digital |
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Zenodo
2025
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| _version_ | 1866901858235187200 |
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| author | Huang, Jim Yongzhi |
| author_facet | Huang, Jim Yongzhi |
| contents | <p> </p> <p>This paper examines how emerging AI-mediated verification systems and open scholarly platforms are reshaping the epistemic foundations of academic peer review.</p> <p>It argues that traditional approval-based review mechanisms are increasingly misaligned with framework-based and structurally verifiable research, and proposes a layered verification model distinguishing between structural validation and human judgment.</p> <p>The paper contributes to the broader framework of Fiscal Epistemology by analyzing peer review as an epistemic infrastructure governing acknowledgement, verification, and legitimacy in knowledge production.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17971472 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | AI, Open Platforms, and the Epistemic Future of Peer Review Huang, Jim Yongzhi <p> </p> <p>This paper examines how emerging AI-mediated verification systems and open scholarly platforms are reshaping the epistemic foundations of academic peer review.</p> <p>It argues that traditional approval-based review mechanisms are increasingly misaligned with framework-based and structurally verifiable research, and proposes a layered verification model distinguishing between structural validation and human judgment.</p> <p>The paper contributes to the broader framework of Fiscal Epistemology by analyzing peer review as an epistemic infrastructure governing acknowledgement, verification, and legitimacy in knowledge production.</p> |
| title | AI, Open Platforms, and the Epistemic Future of Peer Review |
| url | https://doi.org/10.5281/zenodo.17971472 |