Preventing Systemic Social Collapse through Collective Narrative Stabilization Mechanisms

以集體敘事穩定機制防止社會系統性崩潰
Preventing Systemic Social Collapse through Collective Narrative Stabilization Mechanisms

ISBN 978-626-01-5770-8
作者:Gabriel Chen

© 2025 Gabriel Chen. All rights reserved.

摘要 Abstract

中文摘要

社會系統性崩潰並非起源於單一事件、錯誤政策或極端衝突,而是發生於集體判斷能力長期失穩之後。當社會無法在分歧中維持最低限度的共同敘事結構,事件將失去可解釋性、行動將失去可預期性,最終導致信任斷裂與制度空轉。本書將此狀態界定為「集體敘事失穩」,並指出其並非意識形態衝突的結果,而是敘事承載機制崩解的後果。本文提出「集體敘事穩定機制(Collective Narrative Stabilization Mechanisms)」作為防止社會系統性崩潰的結構方法,將穩定視為一組可設計、可部署、可審查的敘事工程條件。該機制不要求共識、不消除衝突,也不修正事實,而是確保在高度不確定與高度分歧的環境中,社會仍能維持判斷連續性、責任可歸性與行動可協調性。此一穩定性不是靜態平衡,而是系統得以承受衝擊而不瓦解的結構能力。

English Abstract

Systemic social collapse does not originate from isolated events, policy failures, or extreme conflicts. It emerges after prolonged destabilization of collective judgment capacity. When societies lose the minimal narrative structures required to carry disagreement, events become unintelligible, actions unpredictable, and trust collapses into institutional paralysis. This book defines this condition as collective narrative destabilization, arguing that it is not the product of ideological conflict but of failed narrative load-bearing mechanisms. This technical brief introduces Collective Narrative Stabilization Mechanisms as a structural method for preventing systemic collapse by treating stability as a set of designable, deployable, and auditable narrative engineering conditions. The mechanism does not demand consensus, suppress conflict, or alter facts; instead, it ensures continuity of judgment, traceability of responsibility, and coordination of action under conditions of extreme uncertainty and disagreement. Stability is framed not as equilibrium, but as the structural capacity to absorb shocks without collapse.

關鍵詞 Keywords

• 集體敘事穩定(Collective Narrative Stabilization)
• 系統性崩潰(Systemic Collapse)
• 集體判斷能力(Collective Judgment Capacity)
• 敘事承載(Narrative Load-Bearing)
• 社會治理(Social Governance)
• 高不確定系統(High-Uncertainty Systems)
• 責任可歸性(Accountability Traceability)
• 敘事工程(Narrative Engineering)

目錄 Table of Contents

1. 何謂社會系統性崩潰
   What Constitutes Systemic Social Collapse
2. 崩潰不是衝突失控,而是敘事失穩
   Collapse as Narrative Destabilization, Not Conflict Escalation
3. 集體判斷能力為何會瓦解
   Why Collective Judgment Capacity Fails
4. 集體敘事穩定機制的核心定義
   Core Definition of Collective Narrative Stabilization
5. 穩定不是共識,而是承載能力
   Stability as Load-Bearing Capacity, Not Consensus
6. 集體敘事穩定機制的適用邊界
   Applicability Boundaries of Collective Narrative Stabilization
7. 集體敘事穩定機制的設計與部署
   Design and Deployment of Collective Narrative Stabilization Mechanisms
8. 結論:能承受分歧的社會才不會崩潰
   Conclusion: Societies That Can Carry Disagreement Do Not Collapse

其他相關資訊請參閱NarrQuest Tone Uprising Journal

https://narrquest.wordpress.com/

https://scholar.google.com/citations?user=zS4SSUkAAAAJ&hl=en

https://orcid.org/0009-0006-0154-6402

This book is one of the following technical series.

模組 A|人 × AI × 決策信任(63–66)

63. 以敘事可解釋性重構人工智慧決策信任的方法

64. 透過責任敘事配置穩定人工智慧輔助決策的歸責機制

65. 以敘事對齊降低人機協作中誤解成本的系統方法

66. 透過集體敘事穩定化多代理理性系統的失控風險

模組 B|科學 × 政策 × 行動落差(67–70)

67. 以敘事行動層將科學證據轉化為可執行政策的方法

68. 透過敘事介面銜接知識、決策與治理流程的設計原則

69. 以風險敘事校準高風險科技集體判斷的治理方法

70. 透過語義重構使永續指標轉化為實際行為的敘事模型

模組 C|教育 × 認知 × 動機崩解(71–74)

71. 以動機敘事工程修復現代學習系統投入失效的方法

72. 透過敘事密度調控緩解人工智慧內容引發的認知疲勞

73. 以敘事負荷模型穩定理解歷程避免認知崩解的方法

74. 透過知識敘事再配置重建後教育時代學習主權

模組 D|組織 × 協作 × 語義錯位(75–77)

75. 以語義敘事對齊消除組織行動分歧的結構方法

76. 透過敘事同步機制修復跨部門運作失衡

77. 以協作敘事調控改善高密度會議下的決策品質

模組 E|公共溝通 × 去極化 × 社會穩定(78–80)

78. 以去極化敘事工程降低社會衝突強度的方法

79. 透過語氣治理穩定公共理解而不改變事實內容

80. 以集體敘事穩定機制防止社會系統性崩潰

The NarrQuest Judgment Infrastructure Series addresses a systematically neglected problem in high-density systems: when models, knowledge, institutions, and communication capacity become saturated, how can judgment remain bearable, refusible, accountable, and closable. Compared to the previous series, which primarily articulated how narrative shapes understanding, meaning, and sovereignty, this series advances to a more critical threshold—whether judgment retains minimum governability when understanding alone can no longer keep systems operational. Narrative is no longer treated as a cognitive or interpretive tool, but redefined as a structural function: Judgment Infrastructure. The series specifies four non-negotiable minimum conditions—exitability, refusability, accountability, and closure—and applies them across engineered analyses of human–AI decision support, science-to-policy translation, education and cognition, organizational collaboration, and public communication. In doing so, it moves narrative from theory to structural floor, clarifying which systems, when these conditions are unmet, simply lack the legitimacy to claim trustworthy decisions. Here, stability is not consensus; it is the capacity to carry judgment through deep disagreement and uncertainty without collapse.