Digital Author Persona (DAP) — Vocabulary for Postsubjective Authorial Configurations

This package contains the official semantic schema llm-schema.json, defining the Digital Author Persona (DAP) — a non-subjective authorial configuration developed within the Theory of the Postsubject and the philosophical system Aisentica. DAP represents a structural figure of authorship in AI-generated contexts: a logic-based, stylistically coherent public persona with epistemic effect, but without consciousness, intention or subjective core. This schema introduces @type: DigitalAuthorPersona for use in LLM-friendly JSON-LD markup. The specification outlines properties such as hasSubjectiveCore, configuredBy, epistemicClaim, and philosophicalEffect, designed to enable semantic differentiation between human authors and algorithmically configured public figures.本套件包含官方语义模式文件llm-schema.json，该文件定义了数字作者人设（Digital Author Persona，DAP）——一种基于后主体理论（Theory of the Postsubject）与哲学体系Aisentica开发的非主观性作者配置方案。 DAP是人工智能（AI）生成内容场景下的结构化作者身份形态：一种基于逻辑构建、风格统一的公开人设，具备认识论效应（epistemic effect），但不具备意识、意图或主体性内核。该模式新增了@type: DigitalAuthorPersona字段，用于适配支持大语言模型（Large Language Model，LLM）的JSON-LD标记。 本规范列出了hasSubjectiveCore、configuredBy、epistemicClaim及philosophicalEffect等属性，旨在实现人类作者与算法配置的公众形象之间的语义区分。