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Analyzing Cut Mark Characteristics on Bone from Chopping/Hacking Tools

Dados Bibliográficos

ID5284424
AutoresKelly Mcgehee, Kelly C McGehee (0000-0003-0481-1516, University of Central Florida, autor correspondente), John J Schultz (0000-0002-1280-1185, University of Central Florida), John Schultz, Sarah E Freidline (0000-0003-4872-4924, University of Central Florida), Sarah Freidline
Ano2023
Data de publicação2023-05-26
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoForensic Anthropology (JOURNAL)
Identificadores do periódicoISSN: 2573-5020 • E-ISSN: 2573-5039
EditoraUniversity Press of Florida (PUBLISHER)
DOI10.5744/fa.2022.0023
OpenAlexW4378375046
IdiomaEN
Citações recebidas1

Sharp force trauma (SFT) is a mechanism of traumatic injury in which a tool with a slanted edge impacts the skin and/orbone, producing a cut mark. While experimental SFT research has been conducted utilizing smaller tools, minimal research focuses on damage inflicted by chopping/hacking tools. Thus, the purpose of this research was to experimentally evaluate and analyze macroscopic characteristics of chopping/hacking trauma inflicted on pig bones (Sus scrofa domesticus) to determine if differentiation of tool class type can be made. An additional goal of this study was to develop a standardized approach to chopping/hacking research to provide appropriate comparisons between the results of different macroscopic experimental studies. Trauma was inflicted to 20 partially fleshed pig limbs utilizing four chopping/hacking tools (axe, hatchet, machete, and cleaver) as well as a carving knife for comparison. Macroscopic evaluation of 16 cut mark characteristics commonly described in the forensic literature was conducted to assess statistical significance. Utilizing a chi-squared analysis, three of the 16 cut mark characteristics (wall regularity, kerf bisection, and edge chattering) demonstrated statistically significant differences in relation to the tool utilized, although Cramer's V correlations indicated weak to moderate effect sizes. A Fleiss kappa analysis indicated substantial agreement during a test for interobserver error regarding characteristics for each tool type and characteristics regardless of tool type. Similar trends in wall regularity, kerf bisection, and edge chattering have been demonstrated in the current experimental literature. Overall, this study confirmed that the ability to differentiate chopping/hacking tools from macroscopic characteristics is challenging

Class (philosophy · Computer security · Enhanced Data Rates for GSM Evolution · Hacker · Simulation · Statistical analysis · Statistics · Computer Science · Forensic and Genetic Research · Forensic Anthropology and Bioarchaeology Studies · Mathematics · Traumatic Ocular and Foreign Body Injuries · Artificial Intelligence

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Obras citantes distintas1
Citações por ano1
Intervalo de citações2026 - 2026 (1)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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