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Record Nr. |
UNINA9910132893103321 |
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Titolo |
Amerikastudien = : American studies |
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Pubbl/distr/stampa |
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Stuttgart, : J.B. Metzlersche Verlagsbuchhandlung, 1974- |
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München, : Wilhelm Fink Verlag |
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Heidelberg, : Universitätsverlag C. Winter |
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ISSN |
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Descrizione fisica |
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Disciplina |
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Soggetti |
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Civilization |
Periodicals. |
United States Civilization Periodicals |
United States |
États-Unis Civilisation Périodiques |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Periodico |
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Note generali |
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2. |
Record Nr. |
UNINA9910141382703321 |
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Autore |
MacLeod John F |
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Titolo |
Explaining criminal careers : implications for justice policy / / John F. MacLeod, Peter G. Grove, David P. Farrington |
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Pubbl/distr/stampa |
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Oxford, : Oxford University Press, 2012 |
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ISBN |
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9780191781568 |
0191781568 |
9781283658232 |
1283658232 |
9780191645242 |
0191645249 |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (273 pages) : illustrations |
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Collana |
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Clarendon studies in criminology |
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Altri autori (Persone) |
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GrovePeter G |
FarringtonDavid P |
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Disciplina |
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Soggetti |
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Criminals - Great Britain |
Criminal justice, Administration of - Great Britain |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Cover; Contents; 1. Criminal Career Research, Mathematical Models, and Testing Quantitative Predictions from Theories; Background; Blumstein and Cohen (1979); The National Academy Panel; Explaining the Growth in Recidivism Probabilities; Explaining the Individual Offending Frequency; Objections to Criminal Career Research; Criminal Career Research in the Last 20 Years; Aims of this Book; Methodological Notes; 2. An Analysis of the Offenders Index; Sources of Data; Recidivism; Reconviction Rate; Reconciling the Risk and Rate Categories; Gender; Is Criminality Constant over the Cohorts? |
3. The Theory and a Simple ModelOrientation; Introduction; The Assumptions of our Theory; Explaining the Age-Crime Curve; The Rise in Crime from 10 to 17 Years of Age; Modelling the Age-Crime Curve; The 100,000 Active Prolific Offenders; Corollaries and Comments; Conclusion; 4. Criminal Careers of Serious, Less Serious, and Trivial Offenders; Orientation; Introduction; Offenders with Custody at First Court Appearance; Custody Rates; Serious Offenders; Less Serious |
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Offenders; Serious Offences; Simplified Modelling of Convictions for Serious Offences; Simplified Modelling of all Convictions |
Versatility or Specialization in OffendingTrivial Offenders; Conclusion; 5. Is Age the Primary Influence on Offending?; Orientation; Introduction; Possible Types of Age Dependence; Testing the Theories; Conclusion; 6. Characteristics of Individuals; Orientation; Introduction; The Rationale and Development of OASys; Analysis of the Pilot OASys Data; The Distribution of Section 11 Scores; Is there Structure in the Section 11 Information in OASys?; Homogeneous and Heterogeneous Section 11 Questions; Conclusions from the OASys Pilot Data Analysis; Analysis of Operational OASys Data |
Analysis of April 2004 PNC Conviction DataConclusions; 7. Applications for Managing the Criminal Justice System; Orientation; Introduction; The Flow Model; Predicting the Prison Population; The DNA Database; Conclusion; 8. Criminal Policy Implications; Orientation; Introduction; Overview of the Theory; The Categories; Areas where Policy could Influence Crime; Childhood Early Interventions; Early Career Interventions; Increasing the Efficiency of Conviction; Offender Treatment Programmes; Prolific and other Priority Offenders; Implications and Uses of the Theory; Frequently Asked Questions |
9. Summary and ConclusionsSummary; The Origin of the Offender Categories; Criminality; Recidivism; Conviction Rate λ; The Effects of Formal Warnings and Cautions; The Criminal Career Debate; Conclusions; Appendix: Mathematical Notes; Introduction; Constant Probability Systems; Allocation of Offenders to the Risk/Rate Categories; An Alternative Modelling Approach; Incapacitation; Steady State Solutions; Estimating the Active Offender Population Size; Maximum Likelihood Estimation of the Recidivism Parameters; Bibliography; Index; A; B; C; D; F; G; I; L; M; N; O; P; R; S; T; V |
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Sommario/riassunto |
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Using the Home Office Offenders Index, a unique database containing records of all criminal convictions in England and Wales since 1963, this simple but influential theory makes exact quantitative predictions about criminal careers and age-crime curves, in particular the prison population contingent on a given sentencing policy. |
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