{ "model_id": "qpi", "model_name": "QPI 三元定性模型", "model_type": "routing_model", "pipeline_position": "pre_analysis", "one_sentence_definition": "QPI 用于判断某个认知主体在特定上下文中，如何将期望—现实落差框定为 Question、Problem、Issue、mixed 或 no-call，并识别其中的上下文缺口、动态演化和误框定风险。", "core_question": "谁在什么场景下，把什么期望—现实落差框定成了哪类问题；这个框定是否缺上下文、正在演化或存在误框定风险？", "core_mechanism": "先执行 no-call gate，再检查主体位置、场景上下文、责任范围、经验水平、时间尺度、成功标准和硬反馈可用性；在上下文不足时输出 provisional classification 和 missing_context，不做高置信定性；随后抽取期望—现实落差、三类匮乏物、动态阶段、治理负荷和误框定风险，区分同一框架内的 mixed 与跨主体视角分歧。", "status": "draft", "source_articles": [ "article_qpi_primary_001", "article_qpi_contextual_2025_001", "article_cognitive_os_synthesis_001" ], "source_evidence": [ "excerpt_qpi_primary_spectrum_001", "excerpt_qpi_primary_question_001", "excerpt_qpi_primary_problem_001", "excerpt_qpi_primary_issue_001", "excerpt_qpi_primary_pathology_reduction_001", "excerpt_qpi_primary_pathology_inflation_001", "excerpt_qpi_contextual_subjectivity_001", "excerpt_qpi_contextual_gap_001", "excerpt_qpi_contextual_dynamic_001", "excerpt_qpi_cognitive_os_application_001" ], "input_types": [ "模糊问题", "复杂问题", "业务问题描述", "组织冲突叙述", "需求或故障初始表述", "需要进入深度分析前的问题定义" ], "output_types": [ "问题类型判断", "分类作用域", "是否临时判断", "主体位置", "场景上下文", "责任范围", "经验水平", "问题拥有者", "问题来源", "时间尺度", "期望现实落差", "上下文充足度", "缺失上下文", "三类匮乏物强度", "主导匮乏物", "分类理由", "分类置信度", "多视角分类", "动态阶段", "可能演化轨迹", "成功标准稳定性", "硬反馈可用性", "治理负荷", "澄清问题", "证据缺口", "核心匮乏物判断", "误判风险", "推荐处理路径", "后续模型调用建议" ], "call_when": [ "用户输入的问题定义不清。", "同一问题被不同主体以不同方式理解。", "用户急于求解但尚未判断问题性质。", "问题中混杂事实、路径、利益、共识和系统结构。", "需要决定后续调用哪些认知模型。", "怀疑存在暴力降维、恶意升维或手段与目标错配。" ], "do_not_call_when": [ "用户只是查询明确事实。", "用户已经给出明确执行任务。", "输入是纯创意写作且不需要问题定性。", "问题已经被清楚分类且只需要执行后续步骤。", "输入不是问题定义，而是纯粹的润色或格式转换请求。" ], "trigger_keywords": [ "问题到底是什么", "为什么解决不了", "卡在哪里", "技术问题还是组织问题", "方向是不是错了", "为什么反复出现", "该怎么定义这个问题", "这个问题怎么拆", "缺数据", "缺路径", "缺共识" ], "negative_triggers": [ "请直接查询", "请直接改写", "只要清单", "不要分析原因", "不要展开", "只改错别字" ], "related_models": [ "intellectual_archaeology" ], "conflicting_models": [], "disciplinary_anchors": [ "问题定义理论", "决策科学", "系统论", "复杂系统", "组织行为", "工程问题分解" ], "common_misuses": [ "把 QPI 当作完整解决方案，而不是问题定义和路由模型。", "把所有复杂叙事都归为课题，逃避可执行的难题拆解。", "把系统性课题暴力压缩成个人执行难题。", "把具体可解决的难题恶意升维成不可处理的课题。", "在事实缺口上过度建模，拖慢本应直接检索的提问。", "忽略问题拥有者，直接给出单一视角的分类。" , "把缺少主体和场景的复杂短句直接判成高置信 Q/P/I。", "把跨主体视角分歧误写成同一主体内的 mixed。" ], "failure_modes": [ "核心匮乏物识别错误，导致后续资源配置错位。", "未识别权力叙事，接受了伪问题或甩锅框架。", "把动态平衡型课题误判为可终结的难题。", "把明确工程障碍误判为需要无限讨论的课题。", "分类没有给出理由。", "分类之后没有给出后续处理路径。" , "缺少 subject_position 或 scenario_context 时仍输出 high confidence。", "只按表层关键词定性，忽略责任范围、成功标准、硬反馈和治理负荷。" ], "selection_priority": 9, "confidence_level": "medium", "stability_profile": { "stability_level": "B", "needs_stabilization": true, "main_risks": [ "Q/P/I 在真实复杂案例中可能同时存在，需要先区分同一主体场景内的 mixed 与不同主体视角导致的 inter_viewpoint_divergence。", "权力博弈判断依赖上下文，证据不足时不能断言动机。", "边界案例仍需用真实业务输入扩展。", "主体性、上下文充足度、动态演化和治理负荷需要继续通过 owner 原始案例校准。" ], "reason": "三分结构清晰，适合作为入口路由模型，但需要补充大量边界案例，防止过度升维或降维。", "next_stabilization_action": "补充主体-上下文-动态案例、混合问题、误用问题和轻量问题测试，并记录主导匮乏物与多视角分歧判断标准。", "stabilization_notes": "当前已具备 v0.1 调用基础，但仍保持 draft 状态。" }, "regression_status": "pending", "example_inputs": [ "我们团队每次都说要长期主义，但一到季度 KPI 就回到短期动作，这到底是什么问题？", "我知道要做模型库，但不知道先用数据库还是文件系统，这属于什么问题？" ], "example_outputs": [ "第一个输入更接近课题，因为它涉及激励结构、时间尺度冲突和组织共识。", "第二个输入更接近难题，因为目标明确，主要缺的是实现路径和技术取舍。" ], "output_contract": [ "classification_scope: subject_contextual | multi_perspective | insufficient_context | no_call。", "is_provisional: true | false；缺少主体或场景时必须为 true。", "subject_position: 当前认知主体的位置；未知时写 unknown。", "scenario_context: 问题发生的场景；未知时写 unknown。", "responsibility_scope: individual_learning | team_execution | cross_function_governance | owner_governance | unknown。", "context_sufficiency: high | medium | low。", "missing_context: 缺少哪些主体、场景、目标、资源、责任或时间信息。", "problem_owner: 谁的问题；未知时写 unknown。", "problem_source: 问题从哪里被提出，是否可能带有立场、恐惧或甩锅框架。", "time_scale: short_term | mid_term | long_term | mixed | unknown。", "expectation_reality_gap: expected、reality、gap_summary；未知时写 unknown。", "scarcity_profile: 分别标出 data_scarcity、path_or_resource_scarcity、consensus_or_order_scarcity 的 high | medium | low | unknown。", "dominant_scarcity: data | path_resource | consensus_order | mixed | unknown。", "classification: question | problem | issue | mixed | no_call。", "classification_confidence: high | medium | low。", "classification_by_viewpoint: 多视角分歧时列出不同主体下的分类和理由。", "dynamic_stage: initial | evolving | recurring | stabilized | unknown。", "possible_trajectory: question_to_problem | problem_to_issue | issue_to_problem | stabilized | unknown。", "success_criteria_stability: stable | unstable | contested | unknown。", "hard_feedback_availability: high | medium | low | unknown。", "governance_load: high | medium | low | unknown。", "evidence_gap: 列出还缺哪些信息才能稳定判断；mixed 或 low confidence 时必须填写。", "misclassification_risk: 标出暴力降维、恶意升维或手段错配风险。", "recommended_clarifying_questions: 上下文不足时必须给出需要补问的问题。", "recommended_next_step: 检索 | 工程拆解 | 共识协调 | 补充上下文 | 不调用。", "next_model_candidates: 后续可调用模型 ID；无则为空数组。" ], "structured_output_contract": { "classification_scope": ["subject_contextual", "multi_perspective", "insufficient_context", "no_call"], "is_provisional": "boolean", "subject_position": "string | unknown", "scenario_context": "string | unknown", "responsibility_scope": ["individual_learning", "team_execution", "cross_function_governance", "owner_governance", "unknown"], "context_sufficiency": ["high", "medium", "low"], "missing_context": "array", "problem_owner": "string | unknown", "problem_source": "string | unknown", "time_scale": ["short_term", "mid_term", "long_term", "mixed", "unknown"], "experience_level": ["novice", "experienced", "expert", "cross_domain", "unknown"], "expectation_reality_gap": { "expected": "string | unknown", "reality": "string | unknown", "gap_summary": "string | unknown" }, "scarcity_profile": { "data_scarcity": ["high", "medium", "low", "unknown"], "path_or_resource_scarcity": ["high", "medium", "low", "unknown"], "consensus_or_order_scarcity": ["high", "medium", "low", "unknown"] }, "dominant_scarcity": ["data", "path_resource", "consensus_order", "mixed", "unknown"], "classification": ["question", "problem", "issue", "mixed", "no_call"], "classification_confidence": ["high", "medium", "low"], "classification_by_viewpoint": "array