Quality Control: The Impact of Raw Material Quality on Inter-analyst Variation and Interpretation of Lithic Assemblages
Author(s): Cindy Hsin-yee Huang; John Murray; Sydney James; Nicolas Hansen; Jonathan Paige
Year: 2023
Summary
This is an abstract from the "SAA 2023: Individual Abstracts" session, at the 88th annual meeting of the Society for American Archaeology.
The issue of inter-analyst variation is common across nearly all archaeological artifacts. Within lithic analysis, there are many quantitative and qualitative assessments that could vary among analysts, which can cause problems in interpretation of stone tool assemblages. In addition, the effects of raw material on inter-analyst variation is not entirely understood; are analysts less consistent when measuring artifacts knapped from cores with many inclusions, for instance? In this study, we quantify the inter-analyst variation that exists when measuring experimentally produced flakes of different raw material qualities. Two expert and two novice knappers are asked to produce flakes from nodules of high, medium, and low-quality flint. Raw material quality is measured via surface roughness, hardness, and the presence of inclusions. Five lithic analysts will conduct blind analysis tests on this experimental assemblage. Variation between analysts and the impact of raw material quality on variation will be assessed. Our results will help us further understand the impacts of raw material quality on lithic analysis and how multiple observers introduce variation in stone tool studies.
Cite this Record
Quality Control: The Impact of Raw Material Quality on Inter-analyst Variation and Interpretation of Lithic Assemblages. Cindy Hsin-yee Huang, John Murray, Sydney James, Nicolas Hansen, Jonathan Paige. Presented at The 88th Annual Meeting of the Society for American Archaeology. 2023 ( tDAR id: 474460)
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Keywords
General
Experimental Archaeology
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Lithic Analysis
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lithic variation
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Material Culture and Technology
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Paleolithic
Geographic Keywords
Worldwide
Record Identifiers
Abstract Id(s): 35962.0