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The power few: experimental criminology and the reduction of harm: The 2006 Joan McCord Prize Lecture
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“Based on analyses of the 'felonious few' (Sherman, 2019; see also Sherman, 2007 ) - offenders responsible for a disproportionate ratio of crime counts or crime harm out of all offenders in the dataset - we find greater concentrations in a smaller number of mixed offenders and co-offenders than among solo offenders.”
From The Compounding Effect: How Co-Offending Exacerbates the Harm Caused by Violent Offenders (2024) · cites this paper as Sherman, 2007
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Metadata
- Authors
- Sherman, L. W.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Sherman, Lawrence W.
- ORCID
- Sherman, Lawrence W.
- Venue
- Journal of Experimental Criminology
- Published
- 2007-11-09
- Volume
- 3
- Issue
- 4
- Pages
- 299-321
- ISSN
- 1572-8315 (ISSN-L)
- 1573-3750
- OpenAlex
- W1572246188
- Cited by
- 183
- References
- 60
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 11 · 2023: 12 · 2022: 15 · 2021: 9 · 2020: 20 · 2019: 16 · 2018: 13 · 2017: 17 · 2016: 11 · 2015: 11 · 2014: 3 · 2013: 7 · 2012: 8
- FWCI
- 6.39
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Experimental Criminology (publishedVersion)
- ANU Open Research (Australian National University) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Crime Patterns and Interventions
- Social Sciences › Law › Criminal Justice and Penology
- Social Sciences › Sociology and Political Science › Criminal Justice and Corrections Analysis
- Keywords
- experimental criminology, statistical power, harm reduction, sample homogeneity, base rates, intervention dosage, punishment, crime prevention
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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