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University of Arkansas

A 3-Dimensional Approach to Projectile Point Classification

Abstract

dc:description.abstract

<p>Typologies have long been used by archaeologists to answer questions about the past, ranging from issues of site chronology to tool function. However, current methods are hampered by subjective misclassifications as well as a loss of the range of variability among different tool forms due to a process that forces them into singular types. This thesis looks to create a simple and reliable technique of projectile point classification. It is also the author’s goal to use a classification system that monitors cultural transmission over time. This objective is addressed with an Archaic projectile point sequence from the Albertson site in Ozark region in Northwest Arkansas. A structured-light 3D scanner was used to create complete 3D models of the artifacts that includes several projectile point types. This was done to improve the accuracy and replicability of measurements. Several different quantitative attributes were examined using cluster analysis. The results indicate that current projectile point types applied to the site are suitable for answering questions of site chronology. However, they are inadequate for questions of social interaction. </p>

Degree

thesis:*
Name thesis:degree_name
Master of Arts in Anthropology (MA)
Level thesis:degree_level
Thesis
Year dc:date.available
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Dennis, Kayden
Advisor dc:contributor.advisor
  • Stoner, Wesley D.
Contributors dc:contributor
  • Kay, Marvin
  • Sabo, George III

Subjects

dc:subject × 10

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uark.edu/etd/3996
OAI identifier oai:identifier
oai:scholarworks.uark.edu:etd-5546

Chain of custody

source
Harvested from
University of Arkansas
Base URL
scholarworks.uark.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Dennis, Kayden. A 3-Dimensional Approach to Projectile Point Classification. Thesis thesis, 2021. https://scholarworks.uark.edu/etd/3996