# B 机制解释层 ## 1. Scope ```text layer_id: B function: explain how disappointment, expectation, prediction, and isolation interact primary_nodes: B1, B2 ``` 本层把问题从“父母导致”转为多因素关系学习与关系预测问题。 ## 2. Main Claims ```text - 失望隔离可能是边界、麻木、防御、撤资,也可能已经泛化。 - 关系预测和期待落差是关键机制,不是单一原生家庭因果。 - 干预需要识别当前主导层级,而不是套用固定解释。 - 家庭长期情感忽视可以是因素之一,但不是唯一因果或道德结论。 ``` ## 3. Source Material Layer Primary blocks: | block_id | role | | --- | --- | | R01-B004 | initial viewpoints and multi-factor turn | | R02-B001 | mechanism round entry | | R02-B002 | multiple factors and cognitive dissonance | | R02-B003 | stage-sensitive dominant layer | | R02-B005 | boundary vs generalized isolation | | R03-B003 | family neglect as one factor | Cross-links: ```text A1: entry label boundary C1: I-domain positioning E2: family field as relationship prediction environment ``` ## 4. Distortion Guard Do not reduce this layer to “family is the cause.” It explains relation-learning dynamics and prepares the move into I-domain governance. ## 5. Material Extraction | material_id | source_blocks | type | extracted material | downstream use | | --- | --- | --- | --- | --- | | B-M01 | R01-B004, R02-B002 | mechanism | The source replaces single-cause explanation with multi-factor relation learning: pressure, expectations, experience sampling, cognition, and relationship feedback combine. | mechanism chapter | | B-M02 | R02-B003 | intervention principle | Dominant layer changes by stage; intervention must track which layer currently controls the problem. | Giant Ark layer-selection rule | | B-M03 | R02-B005 | differentiation | Isolation may be a legitimate boundary when targeted at high-risk objects, but becomes a problem when generalized across relation types. | boundary vs pathology distinction | | B-M04 | R03-B003 | factor weighting | Family neglect can be a factor, but the discussion blocks turning it into a moralized single cause. | adolescent/family caveat | | B-M05 | R07-B006 | relation-prediction bridge | Safety, expectation models, boundaries, self-narrative, and relationship prediction are the psychological materials later modeled in the family field. | bridge to E2 | ## 6. Reusable Claims ```text - The key variable is not whether disappointment exists, but whether the system has generalized withdrawal beyond the original risk object. - A relation injury becomes structurally important when it rewrites prediction, expectation, boundary, and self-narrative. - Family can be high-weight local evidence without becoming a total cause. ``` ## 7. Open Use Notes This layer supplies the mechanism substrate for both Giant Ark and Family Triangle Cognitive Field. It is the best place to preserve nuance before model-building hardens categories.