| Improbable predictions at capital sentencing: contrasting prison violence outcomes. | |
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MedLine Citation:
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PMID: 20305077 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The postconviction prison disciplinary records of capital defendants (n = 73) who had been the subject of defense-sponsored violence risk assessments or risk-related testimony (1995-2007) that asserted an improbability of future serious prison violence were analyzed. During postconviction prison tenures averaging 4.4 years, none of the capital defendants was cited for accomplished serious assaults. The prevalence of misconduct was inversely related to severity: 54.8 percent were cited for some disciplinary misconduct, 27.4 percent for potentially violent disciplinary violations, 12.3 percent for assaultive misconduct, and 1.4 percent for attempted serious assault. Rates of misconduct among the capital offenders were equivalent to those among all inmates (n = 18,561, annual average) in high-security federal prisons (2001-2005). The accuracy rate of forecasts of improbability stands in sharp contrast to that of prosecution-sponsored expert testimony at capital sentencing that had asserted high rates of future violence. |
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Authors:
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Mark D Cunningham; Jon R Sorensen |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: The journal of the American Academy of Psychiatry and the Law Volume: 38 ISSN: 1093-6793 ISO Abbreviation: J. Am. Acad. Psychiatry Law Publication Date: 2010 |
Date Detail:
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Created Date: 2010-03-23 Completed Date: 2010-06-03 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9708963 Medline TA: J Am Acad Psychiatry Law Country: United States |
Other Details:
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Languages: eng Pagination: 61-72 Citation Subset: IM |
Affiliation:
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6860 North Dallas Parkway, Suite 200, Plano, TX 75024, USA. mdc@markdcunningham.com |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Capital Punishment / legislation & jurisprudence* Expert Testimony* Forecasting Forensic Psychiatry* Humans Logistic Models Middle Aged Prisoners* Risk Assessment United States Violence / statistics & numerical data* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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