Abstract

 
 

Footnotes (22)



 


 



Towards a Justice System with Low Entropy and Order Through: Reconstruction of Norm Construction Persons, Caps, Norm Construction Methods and Periodical Table of the Juridical Elements


Orlando I. Martínez-García


Abogados de America Law Offices

July 5, 2007


Abstract:     
The justice system has an abundance of norms that make the system complex with a high degree of entropy complicating the efficiency of the system and of empirical studies. Using Puerto Rico as a sample, four recommendations for reducing entropy are presented. The first recommendation involves the restructuring of norm-construction bodies. The second recommendation is the establishment of caps in norm construction. The third recommendation will bring to the law a method for converting words into numbers through grammatical content analysis and numbers into images through social network analysis, both with existing software available. The fourth recommendation is the most interesting for its beauty and proven reliability in chemistry, the methodological development of a table of the juridical elements. The recommendations are aesthetically attractive and effective for the empirical theorist and the practitioners of the legal profession.

Number of Pages in PDF File: 22

Keywords: chemistry, complexity, entropy, grammatical content analysis, social networks, software, table of the elements

JEL Classification: C51, C81, C88, K30, K40

working papers series


Download This Paper

Date posted: July 6, 2007  

Suggested Citation

Martínez-García, Orlando I., Towards a Justice System with Low Entropy and Order Through: Reconstruction of Norm Construction Persons, Caps, Norm Construction Methods and Periodical Table of the Juridical Elements (July 5, 2007). Available at SSRN: http://ssrn.com/abstract=998740 or http://dx.doi.org/10.2139/ssrn.998740

Contact Information

Orlando I. Martínez-García (Contact Author)
Abogados de America Law Offices ( email )
P.O. Box 2102
Barceloneta, 00617
Puerto Rico
787-970-1316 (Phone)
787-970-0428 (Fax)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 436
Downloads: 46
Footnotes:  22

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo5 in 0.328 seconds