Criminal career patterns, social context and features, psychological factors, potential matches in prior pathways research, sub-types, and treatment goals are provided for the following types of women's pathways to crime: "Type 1 - Quasi-Normal non-violent women with drug/alcohol issues"; "Type 2 - Lifelong Victims, many of whom have abusive partners, drug problems and depression"; "Type 3 - Socialized Subcultural Pathways, poor and marginalized but with low victimization and few mental health problems"; "Type 4 - Aggressive Antisocial, high risk/high need and victimized, mental health issues"; [and] women offenders not classified.
The effects of information technology (IT) and computation developments on prison classification productivity are examined (p. vi). Ten chapters follow an executive summary: current status of MIS (management information system) support for prison classification brief review; MIS software, IT and classification productivity; offender classification roles and data requirements; automated prison classification system features and functions; software design principles and the user interface; evaluating classification MIS; integrating criminal justice system MISs; new directions in classification factors and information content; advances in analytical capacities of IT to strengthen prison classification; and implementing new technology and managing change. Appendixes contain general inmate processing procedures for Department of Correction(s) (or Correctional Services) in Washington, Florida, New Jersey, North Carolina, South Carolina, New York, and Colorado.
This is a must read for anyone involved in working with a jail information system (JIS). “With the increasing focus on cost efficiency and the avoidance of wasteful spending, jail administrators must under¬stand the importance of the potential data at their disposal and strategically plan for faster and more effective forms of data collection, storage, and analysis. [This guide] encourages jail administrators to consider the design and implementation of a jail management information system (MIS) that is tailored to the specific needs of their institutions, is more cost-effective, and is easier to use. The data they are able to collect, store, analyze, and apply to the correctional setting translates to more effective jail management, more realistic short- and long-term goals, the ability to track trends, a more systematic way to measure performance outcomes for the institution and its staff, and pertinent information on the offender population” (p. v). Chapters comprising this manual are: why jails need to become intelligent; measurement of jail performance and key correctional policies; data that most jails are required to collect; data uses in policy analysis and organizational management; required skills for jail information systems; planning and developing information systems; implementing information systems; and requesting proposals for information system development and selecting vendors. Appendixes cover: what drives information needs; sample of a data dashboard; overcoming the hurdles of jail information systems; case example—Contra Costa Jail, Martinez, CA; case example-- Kent County Jail, Grand Rapids, MI; evaluating your JMS system support and usability features; and “Measuring What Matters”—Kent County Correctional Facility Annual Statistical Report (https://www.accesskent.com/Sheriff/pdfs/2012_Annual_Statistical_Report.pdf).
The authors examine issues related to classification of female jail inmates by profiling the female inmate population and discussing problems associated with using a single classification system for both male and female inmates or a gender-neutral system. This document also provides guidelines for designing a classification system specifically for women.