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Predictive Justice in Criminal Matters. True “Justice”?

Authors: Marco Edgardo Florio;

Predictive Justice in Criminal Matters. True “Justice”?

Abstract

The aim of the article is to examine whether predictive justice (applied as a substitute or auxiliary to human justice in criminal matters), can be considered true ‘justice’. In doing so, the article will take as its starting point the idea that the answer cannot be obtained either by looking at ‘technical’ or 'positive law' constraints but must instead be investigated from a pre-positive point of view. By ideally bringing into dialogue the two opposing positions expressed by Pastor and Greco, without forgetting the model of ‘poetic justice’ outlined by Nussbaum, arguments will be provided in support of the idea that justice, if it is to be defined as such, must remain something intrinsically human.

Country
Italy
Related Organizations
Keywords

predictive justice; justice; criminal law; judicial creationism; algorithms

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green