Explaining criminal careers : implications for justice policy / / John F. MacLeod, Peter G. Grove, David P. Farrington.
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...
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Superior document: | Clarendon studies in criminology |
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TeilnehmendeR: | |
Year of Publication: | 2012 |
Edition: | First edition. |
Language: | English |
Series: | Clarendon studies in criminology.
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Physical Description: | 1 online resource (273 pages) :; illustrations. |
Notes: | Description based upon print version of record. |
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050 | 0 | |a HV6944 |b .M28 2012 | |
082 | 0 | 0 | |a 365.66 |
100 | 1 | |a MacLeod, John F. | |
245 | 1 | 0 | |a Explaining criminal careers |h [electronic resource] : |b implications for justice policy / |c John F. MacLeod, Peter G. Grove, David P. Farrington. |
250 | |a First edition. | ||
260 | |a Oxford : |b Oxford University Press, |c 2012. | ||
300 | |a 1 online resource (273 pages) : |b illustrations. | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |2 rda | ||
490 | 1 | |a Clarendon studies in criminology | |
500 | |a Description based upon print version of record. | ||
505 | 0 | |a 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? | |
505 | 8 | |a 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 Offenders; Serious Offences; Simplified Modelling of Convictions for Serious Offences; Simplified Modelling of all Convictions | |
505 | 8 | |a 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 | |
505 | 8 | |a 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 | |
505 | 8 | |a 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 | |
546 | |a English | ||
521 | |a Specialized. | ||
540 | |a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported |f CC BY-NC-ND 3.0 |u https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode | ||
506 | 0 | |f Unrestricted online access |2 star | |
504 | |a Includes bibliographical references and index. | ||
520 | 8 | |a 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. | |
588 | |a Description based on print version record. | ||
650 | 0 | |a Criminals |z Great Britain. | |
650 | 0 | |a Criminal justice, Administration of |z Great Britain. | |
776 | |z 0-19-969724-8 | ||
700 | 1 | |a Grove, Peter G. | |
700 | 1 | |a Farrington, David P. | |
830 | 0 | |a Clarendon studies in criminology. | |
906 | |a BOOK | ||
ADM | |b 2024-04-26 03:03:19 Europe/Vienna |f system |c marc21 |a 2012-11-04 08:45:13 Europe/Vienna |g false | ||
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