
This dataset contains the structured exometric and morphological matrices used in the analysis presented in “The Dynamics of Criminal Law: Morphology, Exometrics, and the Miscalibration of State Punishment”. It includes operationalized indicators of institutional agency, risk and value transfer, and irreversibility of harm within the social interactome related to private security regulation in Chile. The data are derived from normative-analytical reconstruction of legal sources, regulatory frameworks, and scholarly literature. The dataset documents the construction of the Agency (Va), Transfer (Ve), and Irreversibility (Vi) vectors, as well as the calculation of the Unit of Asymmetry (UA) and its correlation with the Index of Metanomy (IMₜ). All variables, coding procedures, and estimative criteria are explicitly documented to ensure analytical transparency, methodological replicability, and intersubjective verification. The dataset is intended to support peer review, secondary analysis, and comparative research on penal dynamics and systemic miscalibration.
penal deflation, penal inflation, criminal law dynamics, unit of asymmetry, Chile criminal law
penal deflation, penal inflation, criminal law dynamics, unit of asymmetry, Chile criminal law
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
