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Dismemberment and Mutilation: A Data-Driven Exploration of Patterns, Motives, and Styles
Victor G Petreca1, Ann W Burgess1, Michael H Stone2
1William F. Connell School of Nursing, Boston College, Maloney Hall, Chestnut Hill, 02467, MA, USA.
This study classifies violent crimes like dismemberment using a data-driven approach. Most offenders exhibited defensive styles and organized patterns in both murder and mutilation acts.
Area of Science:
- Forensic Psychology
- Criminology
- Behavioral Science
Background:
- Classification of violent behavior, particularly dismemberment and mutilation, is crucial for understanding criminal actions.
- Existing studies may be limited by the inclusion of older or less systematically analyzed cases.
Purpose of the Study:
- To develop and validate a data-driven classification system for violent offenders who commit dismemberment or mutilation.
- To objectively analyze perpetrator and victim characteristics, motives, and behavioral patterns.
Main Methods:
- Utilized the Serial Killer Database and media sources to extract cases of dismemberment/mutilation.
- Developed an informational form to quantitatively assess perpetrator/victim characteristics and behavioral patterns.
- Analyzed motives, styles (defensive/offensive), and the organized/disorganized dichotomy.
Main Results:
- The majority of cases (60%) displayed defensive styles, with offensive styles noted in 26%.
- A significant portion (68%) exhibited organized patterns for both murder and dismemberment/mutilation.
- Findings differ from previous studies, potentially due to the exclusion of older cases.
Conclusions:
- A data-driven classification system provides a robust framework for analyzing violent deviant behavior.
- This model can serve as a foundation for future research into specific motives behind dismemberment and mutilation.
- Objective, quantitative analysis enhances the understanding of complex criminal behaviors.
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