摘要
基于2013-2022年我国综合档案馆馆藏档案开放率相关数据,结合国家档案局发布的《全国档案事业基本情况统计年报》,本文分析了算法规训对档案开放率的影响。研究发现,在算法主导的评价体系下,档案机构逐渐弱化对开放策略的自主权,开放率考核趋于形式化,导致档案开放数量增长但实际利用率下降。此外,用户反馈的碎片化与“茧房”效应加剧了档案资源供需错配,反馈机制的欠缺性进一步影响了档案开放生态发展。本文还指出,平台治理的滞后导致档案政策执行效能下降,使得档案开放面临“数据繁荣”与“需求萎缩”并存的困境。针对上述问题,本文提出优化档案开放率的路径,包括构建多元化评价指标、引入用户反馈驱动的算法优化机制以及加强平台治理,以推动档案资源的高质量开放与有效利用。
Based on data related to the open access rate of archival holdings in China's comprehensive archives from 2013 to 2022,along with the National Archives Statistics Annual Report released by the National Archives Administration of China,this paper analyzes the impact of algorithmic discipline on the archival open access rate.The study finds that under an algorithm-dominated evaluation system,archival institutions have gradually weakened their autonomy in open access strategies,leading to a formalistic approach in open access assessments.This results in an increase in the quantity of opened archives but a decline in their actual utilization.Additionally,the fragmentation of user feedback and the'Echo chamber'effect exacerbate the mismatch between the supply and demand of archival resources,while the lack of a feedback mechanism further hinders the development of an open archival ecosystem.The paper also points out that lagging platform governance reduces the effectiveness of archival policy implementation,creating a dilemma where'data prosperity'coexists with'demand shrinkage'in archival openness.To address these issues,this paper proposes pathways to optimize archival open access rates,including constructing diversified evaluation metrics,introducing user feedback-driven algorithmic optimization mechanisms,and strengthening platform governance to promote high-quality openn ess and effective utilization of archival resources.
出处
《档案管理》
北大核心
2025年第4期117-119,共3页
Archives Management
关键词
档案开放
档案利用
平台治理
算法规训
算法优化
评价指标
多元化
人工智能
Archival openness
Archival utilization
Platform governance
Algorithmic discipline
Algorithmic optimization
Evaluation metrics
Diversification
Artificial i ntelligence
