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Let Specificity, Clarity, and Parsimony of Purpose Be Our Guide

Bibliographic Data

ID6090606
AuthorsM J Smith (0000-0003-4719-8651, corresponding author), Michael Smith (0000-0002-7649-353X)
Year1998
Volume20
Issue4
Pages491-526
Publication date1998-10-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLaw & Policy (JOURNAL)
Journal identifiersISSN: 0265-8240 • E-ISSN: 1467-9930
PublisherWiley (PUBLISHER • GB)
DOI10.1111/1467-9930.00059
OpenAlexW2096153699
LanguageEN

The decisional rules embedded in presumptive guideline grids have achieved some of their drafters' objectives, but fall short of a ``rule of law'' for sentencing – a paramount goal of the sentencing reforms Marvin Frankel set in motion twenty‐five years ago. The rule of law requires a reasoning process that moves from penal purpose to penal measure, by fair inference from relevant facts. Two‐dimensional grid guideline schemes gain simplicity by reducing relevant facts to two – current offense and prior record. Even when judges are permitted to consider other facts, the presumptive guideline methodology obscures differences in the penal purposes sentencers ought to have in mind for cases falling into the same cell of a grid. In contrast, the rule of law requires fact‐finding in the individual case, to reveal such differences and to test the plausibility of available penal measures. This elevates the relevance of offender characteristics and circumstances, including some that are held ordinarily irrelevant in the federal scheme and are of uncertain relevance in many state schemes. While this is most obvious when use of noncustodial penal measures is subjected to the rule of law, it is no less important when imprisonment is used. Disparate impacts should be avoided by more sophisticated deployment of correctional authority and resources, not by constriction of the rule of law governing the sentencing decision itself

CLARITY · Guideline · Imprisonment · Inference · Law and economics · Political science · Relevance (law · Sentence · Sentencing guidelines · Set (abstract data type · Sociology · Computer Science · Criminal Justice and Corrections Analysis · Criminal Law and Policy · Healthcare Decision-Making and Restraints · Law · Psychology · Artificial Intelligence

Citation velocityhistorical
Highly citedNo

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