evocative and wholly magnificent'- Roger Hutchison, The Scotsman On 31 December 1918, hours from the first New Year of peace, hundreds of Royal Naval Reservists from the Isle of Lewis poured off successive trains onto the quayside at Kyle of Lochalsh. A chaotic Admiralty had made no adequate arrangements for their safe journey home. Corners were cut, an elderly and recently requisitioned steam-yacht was sent from Stornoway, and that evening HMY Iolaire sailed from Kyle of Lochalsh, grossly overloaded and with life-belts for less than a third of all on board. The Iolaire never made it. At two
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Explaining Criminal Careers presents a simple quantitative theory of crime, conviction and reconviction, the assumptions of the theory are derived directly from a detailed analysis of cohort samples drawn from the "UK Home Office" Offenders Index (OI). Mathematical models based on the theory, together with population trends, are used to make: exact quantitative predictions of features of criminal careers; aggregate crime levels; the prison population; and to explain the age-crime curve, alternative explanations are shown not to be supported by the data. Previous research is reviewed, clearly identifying the foundations of the current work. Using graphical techniques to identify mathematical regularities in the data, recidivism (risk) and frequency (rate) of conviction are analysed and modelled. These models are brought together to identify three categories of offender: high-risk / high-rate, high-risk / low-rate and low-risk / low-rate. The theory is shown to rest on just 6 basic assumptions. Within this theoretical framework the seriousness of offending, specialisation or versatility in offence types and the psychological characteristics of offenders are all explored suggesting that the most serious offenders are a random sample from the risk/rate categories but that those with custody later in their careers are predominantly high-risk/high-rate. In general offenders are shown to be versatile rather than specialist and can be categorised using psychological profiles. The policy implications are drawn out highlighting the importance of conviction in desistance from crime and the absence of any additional deterrence effect of imprisonment. The use of the theory in evaluation of interventions is demonstrated.
Most criminological theories are not truly scientific, since they do not yield exact quantitative predictions of criminal career features, such as the prevalence and frequency of offending at different ages. This Element aims to make progress towards more scientific criminological theories. A simple theory is described, based on measures of the probability of reoffending and the frequency of offending. Three offender categories are identified: high risk/high rate, high risk/low rate, and low risk/low rate. It is demonstrated that this theory accurately predicts key criminal career features in three datasets: in England the Offenders Index (national data), the Cambridge Study in Delinquent Development (CSDD) and in America the Pittsburgh Youth Study (PYS). The theory is then extended in the CSDD and PYS by identifying early risk factors that predict the three categories. Criminological theorists are encouraged to replicate and build on our research to develop scientific theories that yield quantitative predictions.
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Abstract: The illegality doctrine is an area where Scottish materials are sparse and conflicting. There have therefore been calls for law reform in Scotland, even along the lines of the United Kingdom Supreme Court (UKSC) decision in Patel v. Mirza. Moreover, Patel is already being mentioned with approval in Scottish courts and texts, and this suggests that any case which comes after it is likely to follow it closely.
In: Boyd , A & Macleod , J 2018 , ' The destruction of the 'Windrush' disembarkation cards: a lost opportunity and the (re)emergence of Data Protection regulation as a threat to longitudinal research ' , Wellcome Open Research . https://doi.org/10.12688/wellcomeopenres.14796.1
Historical records and the research databases of completed studies have the potential either to establish new research studies or to inform follow-up studies assessing long-term health and social outcomes. Yet, such records are at risk of destruction resulting from misconceptions about data protection legislation and research ethics. The recent destruction of the Windrush disembarkation cards, which potentially could have formed the basis of a retrospective cohort study, illustrates this risk. As organisations across Europe transition to the EU General Data Protection Regulation (GDPR), this risk is being amplified due to uncertainty as to how to comply with complex new rules, and the requirement under GDPR that data owners catalogue their data and set data retention and destruction rules. The combination of these factors suggests there is a new meaningful risk that scientifically important historical records will be destroyed, despite the fact that GDPR provides a clear legal basis to hold historical records and to repurpose them for research for the public good. This letter describes this risk; details the legal basis enabling the retention and repurposing of these data; makes recommendations as to how to alleviate this risk; and finally encourages the research and research-active clinical community to contact their 'Data Protection Officers' to promote safe-keeping of historical records.