智能代理范式作为社会研究第五范式的建构与检验兼论生成式议程设置与表征审计

The Agentic Intelligence Paradigm as the Fifth Paradigm of Social Research: Construction and TestingWith a Discussion of Generative Agenda-Setting and Representation Auditing

  • 摘要: 人类社会正经历“深度代理化”的历史性转折:人与人、人与商业、人与信息的关系正被人工智能系统性中介,智力劳动的稀缺性逻辑随之瓦解。本文提出社会研究的第五范式——智能代理范式,并从本体论、方法论与传播学三个层面加以建构。在本体论层面,本文以“压缩集体表征快照”(Compressed Collective Representation Snapshot, CCRS)为新型经验材料的概念基石,指出其实质是对已被媒介加工的拟态环境的再一次有损压缩,即“压缩拟态环境”;压缩之“损”本身构成测量对象。在方法论层面,本文以“研究者—工具—对象”三元角色置换为生成规则,推演出问询、扮演、集群、对抗、反向五种操作模式;以“表征效度”取代“替代效度”重设效度坐标,构建测量设计六要素、效度体系五指标、含“递归回声误差”在内的七源“总表征误差”(Total Representation Error, TRE)框架与多轮问答规程,并以AIciting.com平台采集的真实数据,对统计聚焦、镜像刷新、信源供稿、平行议程与条件分支五个命题作了初步检验。在传播学层面,本文提出“认知折叠”与“生成式议程设置”两个命题,论证议程设置的上游——“谁在向集体意识供稿”——显影为可审计的信源清单,传播治理须从内容治理转向以表征审计为核心的模型治理。智能代理范式不替代调查、实验、实地与文献四法,而与之构成三角互证;它使社会研究从“分析数据”转向“与知识杂合体对话并审计这种对话”,也使传播学有望从经验总结者转型为认知基础设施的审计者。

     

    Abstract: Human society is undergoing a historic turn toward “deep agentification”: the relationships between people, between people and businesses, and between people and information are being systematically mediated by artificial intelligence (AI), and the scarcity logic of intellectual labor is collapsing as a result. This paper proposes the fifth paradigm of social research, the Agentic Intelligence Paradigm, and constructs it at three levels: ontology, methodology and communication studies. At the ontological level, the paper takes the Compressed Collective Representation Snapshot (CCRS) as the conceptual cornerstone of a new type of empirical material. It argues that a CCRS is, in essence, a second lossy compression of a pseudo-environment that has already been processed by the media, that is, a “compressed pseudo-environment”, and that the loss incurred by this compression is itself an object of measurement. At the methodological level, the paper takes the permutation of the three roles of researcher, instrument and object as a generative rule, from which five operational modes are derived: inquiry, role-playing, swarm, adversarial and reverse. It replaces “substitution validity” with “representational validity” as the reference axis of validity, and builds six elements of measurement design, a system of five validity indicators, a seven-source Total Representation Error (TRE) framework that includes “recursive echo error”, and a multi-round question-answering protocol. Using real data collected on the AIciting.com platform, it conducts preliminary tests of five propositions: statistical focusing, mirror refreshing, source feeding, parallel agendas and conditional branching. At the level of communication studies, the paper puts forward two propositions, “cognitive folding” and “generative agenda-setting”. It argues that the upstream of agenda-setting, namely “who is feeding the collective consciousness”, now becomes visible as an auditable list of sources, and that communication governance must shift from content governance to model governance centered on representation auditing. The Agentic Intelligence Paradigm does not replace the four classic approaches of survey, experiment, field research and documentary research; instead, it forms a triangulation with them. It moves social research from “analyzing data” to “conversing with knowledge hybrids and auditing such conversations”, and may enable communication studies to transform from a summarizer of experience into an auditor of cognitive infrastructure.

     

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