The Identification of Technological Variability Through Experimental Replication and Empirical Multivariate Analysis

Chandler, Susan M.; Ware, John A.

doi:10.1080/01977261.1976.11754424

Cited by 3 publications

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“…Gunn and Prewitt have proposed a method that is readily accessible now, and it is possible that other archaeologists have used it. Chandler and Ware (1976) utilized a similar procedure to extend experimentally produced categories of flakes to actual archaeological specimens. No one has published a test of the procedure; we will do that here.…”

Section: Premature Automatic Classificationmentioning

confidence: 99%

Automatic Classification of Inspectional Categories: Multivariate Theories of Archaeological Data

Benfer

1981

Am. antiq.

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The application of extremely complex multivariate models of classification to subjective inspectional methods of categorization is analyzed in detail, with the widely used Texas system of dart point typology as a case study. The history of the development of the Texas dart point typological system is sketched. An attempt by Gunn and Prewitt (1975) to objectify the classificatory system by multivariate methods is criticized. The techniques applied were too idiosyncratic to the particular data set used to be of predictive value. Discriminant function and multivariate classification analysis are discussed in detail, emphasizing simple geometrical examples by which the major principles may be grasped. Suggestions for improvement are offered for those who wish to follow Gunn and Prewitt in constructing automatic classification schemes.

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Section: Premature Automatic Classificationmentioning

confidence: 99%

Automatic Classification of Inspectional Categories: Multivariate Theories of Archaeological Data

Benfer

1981

Am. antiq.

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“…Key areas of interest in these two decades included reduction sequences (Bradley 1972;Crabtree 1966;Newcomer 1971;Rovner 1974;Sollberger 1971), various knapping methods (Bordes and Crabtree 1969;Chandler and Ware 1976;Crabtree 1966;Henry et al 1976;Jelinek et al 1971;Newcomer 1975;Patterson and Sollberger 1976;Peets 1961;Pond 1969;Sheets 1973;Sollberger and Patterson 1976;Stoltman 1971), tool use (Beggerly 1976;Crabtree and Davis 1968), and heat treatment (Bordes 1969;Crabtree and Butler 1964;Flenniken and Garrison 1975;Mandeville 1973;Mandeville and Flenniken 1974;Purdy and Brooks 1971).…”

Section: Early Researchmentioning

confidence: 99%

The role of experimental knapping in empirically testing key themes in the evolution of lithic technology: reduction intensity, efficiency and behavioural complexity

Muller¹

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Experimental knapping has complimented and stimulated lithic analyses for over a century.Throughout this period, the discipline has witnessed an increase in the scientific rigour and theoretical grounding with which these studies are conducted. This thesis charts these key trends and in doing so establishes a best-practice model of experimental knapping, the veracity of which is in turn tested using four new lithic experiments. These case-studies employ experimental knapping to advance our understanding of flake platform measurement, reduction intensity, technological efficiency, and behavioural complexity.The first case-study, Chapter 3, offers a more accurate and precise calliper-based method of flake platform measurement that relies on simple geometric approximations of platform shape rather than the inflexible and unreliable existing method of multiplying platform width by thickness. In Chapter 4, a new reduction intensity metric for backed blades, a hitherto overlooked tool-type, is developed and tested on the backed blades from an early Neolithic site in Turkey. This new metric allows a reconstruction of the raw material consumption patterns at the site, finding that the backed blades These four case-studies, coupled with a consideration of existing knapping experiments, allow an understanding of how experimental knapping is embedded in the broader archaeological research process, and ultimately tests the efficacy of a best-practice model of experimental knapping. This model identifies the initial scope, methodological control, and breadth of interpretations as the key variables dictating the validity of an experiment. While knapping experiments may differ markedly in their scope and control, they do not necessarily vary in their validity. Instead, it is the interplay of these variables that dictates the validity of experimentation. Within this best-practice model, lithic experiments are most robust when the scale of the initial scope, methodological control and ensuing interpretations are congruent, and when they involve explicit and falsifiable hypothesis testing.iii

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Identification of Flaking Techniques: From the Analysis of Fracture Wings

Takakura

Izuho

2004

Daiyonki-kenkyu

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The Identification of Technological Variability Through Experimental Replication and Empirical Multivariate Analysis

Cited by 3 publications

References 0 publications

Automatic Classification of Inspectional Categories: Multivariate Theories of Archaeological Data

Automatic Classification of Inspectional Categories: Multivariate Theories of Archaeological Data

The role of experimental knapping in empirically testing key themes in the evolution of lithic technology: reduction intensity, efficiency and behavioural complexity

Identification of Flaking Techniques: From the Analysis of Fracture Wings

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