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Revista Española de Investigación Criminológica
Article . 2025 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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DIGITAL.CSIC
Article . 2025 . Peer-reviewed
Data sources: DIGITAL.CSIC
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Publicación del algoritmo penitenciario TVR

Authors: Manuel Fanega; Carlos Fresneda Portillo; Álvaro Beltrán Camacho;

Publicación del algoritmo penitenciario TVR

Abstract

In this paper, we disclose the TVR algorithm of the Spanish Criminal Justice System (CJS). This Risk Assessment Instrument (RAI) is mainly applied as part of the decision-making process for granting prison leaves in one of the three prison systems of Spain. This algorithm has been in-use for thirty years but has remained partially undisclosed. After a comprehensive scrutiny of the literature, the original source, in which the algorithm is detailed, was found within an unpublished book. Using the information contained within this manual, we simulated all the possible outcomes of the algorithm. As a result, the algorithm leads to a category of high, very high, extreme, or maximal risk in 99.3 % of cases. Furthermore, out of the 6144 possible outcomes of the TVR algorithm, only 9 outcomes lead to a category of low or very low risk, what entails that there is potential evidence of bias towards false positives.

Country
Spain
Keywords

Algoritmos de predicción del delito, H, Predictive analysis, Crime prediction algorithms, Prisiones, Social pathology. Social and public welfare. Criminology, TVR, Análisis predictivo, RAI, Prison, Social Sciences, HV1-9960

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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
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gold