The Pseudoscientific Nature of the Justice System and the Paths Towards Scientific Knowledge Processes that Lead to Universal Justice Patterns

Orlando I. Martínez-García
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Abstract

This article correlates all the deficiencies made by LatCrit theory and similar antecedent movements to the pseudo-scientific nature of the justice system. Evaluation of pseudo-scientific characteristics of the justice system is presented to illustrate how existing knowledge processes of this system perpetuate patterns of subordination. The pseudo-scientific nature of the system promotes complexity which is a form of high entropy that obstructs the development of knowledge processes which promote substantive security. A knowledge process traditionally used in the sciences with success is proposed with novel paths towards transforming the nature of the justice system. The proposed paths aspires to organize, clean and screen repetitive, accumulative and artificial norms that affect the efficiency of knowledge processes through qualitative and quantitative methods for the visualization and analysis of data that leads to universal justice patterns. The method proposed is open, interdisciplinary, multidimensional, and universal borrowing from the periodic table of the elements, and the theories of chaos-complexity, narrative content analysis, social network analysis and fractals.
司法制度的伪科学性质与通向普遍司法模式的科学知识过程之路
本文将拉特克里特理论和类似的先前运动所造成的所有缺陷与司法制度的伪科学性质联系起来。对司法系统的伪科学特征进行评估,以说明该系统的现有知识过程如何使从属模式永久化。系统的伪科学性质促进了复杂性,这是一种高熵的形式,阻碍了促进实体安全的知识过程的发展。传统上在科学中成功使用的知识过程提出了改变司法系统性质的新途径。拟议的途径旨在通过定性和定量方法对导致普遍正义模式的数据进行可视化和分析,组织、清理和筛选影响知识过程效率的重复性、累积性和人为规范。该方法借鉴元素周期表,运用混沌-复杂性、叙事内容分析、社会网络分析和分形等理论,具有开放性、跨学科性、多维性和普世性。
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