Analysis of Class Characteristics of Reciprocating Saws<sup>,</sup>

Berger, Jacqueline M.; Pokines, James T.; Moore, Tara

doi:10.1111/1556-4029.13759

Cited by 11 publications

(30 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous saw mark analysis has confirmed that valuable information relating to saw class and individual characteristics can be collected from examinations of FSKs [1‐3,5,25,26,29,30,32,33,35,36,41]. Previous studies addressing the value of MKWs and their relationship to blade/set width only performed test cuts on restrained specimens [2,5,26,32,35,36,41].…”

Section: Discussionmentioning

confidence: 99%

“…The large kerf widths suggested that the saw utilized in the dismemberment was a mechanical‐powered saw. Despite its suggested value, only a handful of studies [2,26,36,41] have statistically addressed the relationship between MKWs and blade width while taking into account the effects of saw power, or the substitution of analogs for human bone in the experiments.…”

Section: Introductionmentioning

confidence: 99%

“…[35], Moore [33], and Berger et al . [36] additionally assessed the effects of saw power to differentiate between saw types while evaluating multiple features including MKW. Love et al .…”

Section: Introductionmentioning

confidence: 99%

“…Berger et al . [36] utilized partially fleshed white‐tailed deer long bones to examine the class characteristics of saw marks produced using five reciprocating saw blades and one hacksaw. Each blade was used to make two intentional FSKs on partially secured specimens, which were then measured using digital calipers to determine MKWs.…”

Section: Introductionmentioning

confidence: 99%

“…Moore [33] and Berger et al[36] specifically focused on features produced by different chain types on the same saw and reciprocating saws, respectively, in order to determine whether class characteristics could differentiate between saws of the same class. Using five different chains, Moore [33] produced 50 FSKs on restrained white-tailed deer bone specimens.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Correlation between saw blade width and kerf width

Menschel

Pokines

Reinecke

2020

Journal of Forensic Sciences

Self Cite

View full text Add to dashboard Cite

The author would like to thank Boston University, Department of Anatomy and Neurobiology, and the faculty of the Forensic Anthropology program for the use of facilities and funds. Thanks to Dr. James Pokines for his assistance in conducting the research and for his contributions as my advisor and first reader. The author would also like to thank Agent Reinecke in his role as second reader. Thank you to Qi Huang, Xiaofei We, Chuning Yuan, and Kelly C. Kung of the MSSP statistical consulting service, under the guidance of Professor Allen G. Harbaugh, for their assistance. A special thank you to the women in my cohort who have become good friends who have provided me with their support and welcomed diversions throughout this process. Special thanks to Reshma Satish and Savannah Mills for assisting me during my data collection.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…[35], Moore [33], and Berger et al . [36] additionally assessed the effects of saw power to differentiate between saw types while evaluating multiple features including MKW. Love et al .…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Correlation between saw blade width and kerf width

Menschel

Pokines

Reinecke

2020

Journal of Forensic Sciences

Self Cite

View full text Add to dashboard Cite

show abstract

Cruel traces: Bone surface modifications and their relevance to forensic science

Egeland

Pickering

2020

WIREs Forensic Science

View full text Add to dashboard Cite

The reconstruction of perimortem and postmortem events is of critical importance to criminal investigations. In many cases, the information required for these reconstructions can be accessed through the analysis of skeletal remains. One particular class of skeletal data—trauma to the surfaces of bones, or bone surface modifications (BSMs)—can reveal much about the perimortem and postmortem intervals. While the study of BSMs originated within the fields of paleontology and archeology and was only later integrated into forensic science, a fruitful interdisciplinary exchange of data and methods is now commonplace. BSMs from thermal alteration, sharp‐force trauma, terrestrial and aquatic scavengers and predators, bacteria and fungi, insects, weathering, and sediment abrasion can supply investigators with valuable information about the agents and events of a corpse's deposition, including weapon type, local environmental conditions, the postmortem interval, and the presence, temperature(s), and/or length(s) of thermal exposure. Based on a review of this rich body of literature, we argue that (a) all associations between a BSM and its alleged source must rest on observational cause‐and‐effect studies; (b) secure identifications of BSMs should rely both on the intrinsic features of the modifications themselves and relevant contextual data; (c) the scientific validity of BSM research depends, ultimately, on rigorous blind‐testing and the establishment of error rates; and (d) researchers need to make a concerted effort to enhance interanalyst correspondence through objective definitions, measurements, and/or codes of BSM features. The most promising path forward lies in the combination of digital image analysis and multivariate predictive modeling. This article is categorized under: Forensic Anthropology > Trauma Analysis Forensic Anthropology > Taphonomic Changes and the Environment Forensic Anthropology > Time Since Death Estimation

show abstract