Four Logics Data

This dataset provides the underlying data, calculations, and visual components necessary to replicate and extend the findings presented in the article "Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems" (Do Vale & Costa, 2025). The article proposes an integrated analytical framework for studying collective decision-making in governance, combining four adaptive macro-level belief systems (Political, Economic, Scientific, and Moral-Ethical) with network topology analysis. The framework identifies four emergent governance dynamics: Systemic Rigidity, Systemic Fragility, Negotiated Stability, and Elasticity. This dataset has five files: Supplementary_Table_S1; Supplementary_Table_S2; Supplementary_Table_S3; Supplementary_Figure_S1; Supplementary_Figures_S2_IV_Appendix. These files are organized in three folders: - Multi-Criteria Decision Analysis (MCDA) Folder: This folder contains the quantitative backbone of the framework, specifically the raw data, calculations, and sensitivity analyses used to determine the relative influence (weights) of the four governance logics (Political, Economic, Scientific, and Moral-Ethical) across the studied cases. Researchers can use these files to reproduce the weighting process detailed in Appendix I of the paper and to recreate the visual representations of the system dynamics, including the attractor landscapes presented in Figure 3 and the Logics weightings summarized in Table 2. FILES IN THE FOLDER: "Supplementary_Table_S2" and "Supplementary_Figure_S1" - Network Diagrams Folder: This folder provides data on the structural analysis of the governance system topology. It includes the quantitative output for the network analysis. The data is relevant for replicating the network properties listed in Table 1 and the information provided in Appendix IV. These files allow for the verification of how institutional topology and network structure mediate the Four Logics. FILES IN THE FOLDER: "Supplementary_Table_S1" and "Supplementary_Figures_S2_IV_Appendix" - Case Studies Folder: This folder contains the synthesized data derived from the literature review on the five historical crises examined in the article (Chernobyl Nuclear Accident, the Partition of India, the Ethiopian Famine, the War on Terror, and COVID-19). This data serves as the foundation for detailing the initial variables, actor preferences, and observed institutional configurations that informed the MCDA and network modeling for each case. FILE IN THE FOLDER: "Supplementary_Table_S3" The files in the MCDA folder allow users to reproduce the Logic weighting process. The data in the Network Diagrams folder can be used in conjunction with standard network analysis software (e.g., Gephi, R with igraph) to verify the network properties and centrality measures reported in the paper. The Case Studies files provide the structured qualitative input for those seeking to apply the framework to new cases.本数据集提供了复现并拓展论文《治理的四种逻辑：复杂系统中的集体决策框架》（"Four Logics of Governance: A Framework for Collective Decision-Making in Complex Systems"，Do Vale与Costa, 2025）中所述研究成果所需的基础数据、计算结果与可视化组件。 该论文提出了一套用于研究治理领域集体决策的集成分析框架，将四类适应性宏观信念体系（政治、经济、科学与道德伦理）与网络拓扑分析相结合。此框架识别出四类涌现的治理动态：系统刚性(Systemic Rigidity)、系统脆弱性(Systemic Fragility)、协商稳定(Negotiated Stability)与弹性(Elasticity)。 本数据集包含5个文件：Supplementary_Table_S1、Supplementary_Table_S2、Supplementary_Table_S3、Supplementary_Figure_S1、Supplementary_Figures_S2_IV_Appendix，这些文件被收纳于3个文件夹中： - 多准则决策分析(Multi-Criteria Decision Analysis, MCDA)文件夹：该文件夹承载了本框架的定量核心部分，具体包含用于确定四类治理逻辑（政治、经济、科学与道德伦理）在各研究案例中的相对影响力（权重）的原始数据、计算结果与敏感性分析结果。研究人员可借助该文件夹内的文件复现论文附录I中详述的权重计算流程，并重现系统动态的可视化成果，包括论文图3所示的吸引子景观与表2汇总的治理逻辑权重。本文件夹包含文件："Supplementary_Table_S2"与"Supplementary_Figure_S1"。 - 网络图文件夹：该文件夹提供治理系统拓扑的结构分析数据，涵盖网络分析的定量输出结果。相关数据可用于复现论文表1所列的网络属性与附录IV提及的内容，使用者可借此验证制度拓扑与网络结构如何对四类治理逻辑产生中介作用。本文件夹包含文件："Supplementary_Table_S1"与"Supplementary_Figures_S2_IV_Appendix"。 - 案例研究文件夹：该文件夹包含基于文献综述整合得到的5起历史危机的相关数据，论文中考察的5起历史危机分别为切尔诺贝利核事故(Chernobyl Nuclear Accident)、印巴分治(Partition of India)、埃塞俄比亚饥荒(Ethiopian Famine)、反恐战争(War on Terror)与新冠疫情(COVID-19)。此类数据为详述各案例的初始变量、主体偏好与观测到的制度构型提供了基础，而这些内容正是各案例多准则决策分析与网络建模的依据。本文件夹包含文件："Supplementary_Table_S3"。 多准则决策分析文件夹内的文件可帮助使用者复现治理逻辑权重计算流程；网络图文件夹的数据可配合标准网络分析软件（如Gephi、搭载igraph包的R语言）验证论文中报告的网络属性与中心性指标；案例研究文件夹的文件则为希望将该框架应用于新案例的研究者提供结构化定性输入数据。