Articles producció científica> Història i Història de l'Art

The quantification of surface abrasion on flint stone tools

  • Datos identificativos

    Identificador: imarina:9330666
    Autores:
    Bustos-Pérez, GOllé, A
    Resumen:
    Lithic artifacts are some of the most common and numerous remains recovered from paleolithic archaeological sites. However, these materials can undergo multiple post-depositional alterations after their introduction into the archaeological record. Due to the high quantity of lithic remains recovered, a quick, flexible, and effective method for identifying degrees of alteration on the surface of lithic implements is highly desirable. The present study examines the use of gray level images to obtain quantitative data from the surface of flint artifacts and determine whether these images can detect the presence of post-depositional alterations. An experimental collection of flints was subjected to sequential episodes of rounding in a tumbling machine. After each episode, photographs were taken with a microscope, resulting in quantitative surface values using gray level values. The quantitative surface values were used as variables in machine learning models to determine time of exposure and the most salient variables for discrimination. Our results indicate that the extraction of metrics from gray level images successfully capture changes in the surface of flint artifacts caused by post-depositional processes. Additional results provide insight into which areas to sample when seeking post-depositional alterations and underscore the importance of particle size in the generation of alterations.
  • Otros:

    Autor según el artículo: Bustos-Pérez, G; Ollé, A
    Departamento: Història i Història de l'Art
    Autor/es de la URV: Ollé Cañellas, Andreu
    Palabras clave: Area Artifacts Experimental archaeology Lithic assemblages Lithic taphonomy Machine learning Roc curve Size Use-wear Word
    Resumen: Lithic artifacts are some of the most common and numerous remains recovered from paleolithic archaeological sites. However, these materials can undergo multiple post-depositional alterations after their introduction into the archaeological record. Due to the high quantity of lithic remains recovered, a quick, flexible, and effective method for identifying degrees of alteration on the surface of lithic implements is highly desirable. The present study examines the use of gray level images to obtain quantitative data from the surface of flint artifacts and determine whether these images can detect the presence of post-depositional alterations. An experimental collection of flints was subjected to sequential episodes of rounding in a tumbling machine. After each episode, photographs were taken with a microscope, resulting in quantitative surface values using gray level values. The quantitative surface values were used as variables in machine learning models to determine time of exposure and the most salient variables for discrimination. Our results indicate that the extraction of metrics from gray level images successfully capture changes in the surface of flint artifacts caused by post-depositional processes. Additional results provide insight into which areas to sample when seeking post-depositional alterations and underscore the importance of particle size in the generation of alterations.
    Áreas temáticas: Archaeology Archeology Chemistry, analytical Chemistry, inorganic & nuclear Ciencias humanas Ciencias sociales Geosciences, multidisciplinary Historia History
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: andreu.olle@urv.cat
    Identificador del autor: 0000-0002-8643-5536
    Fecha de alta del registro: 2024-01-13
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://onlinelibrary.wiley.com/doi/10.1111/arcm.12913
    Referencia al articulo segun fuente origial: Archaeometry.
    Referencia de l'ítem segons les normes APA: Bustos-Pérez, G; Ollé, A (2023). The quantification of surface abrasion on flint stone tools. Archaeometry, (), -. DOI: 10.1111/arcm.12913
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1111/arcm.12913
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2023
    Tipo de publicación: info:eu-repo/semantics/article
  • Palabras clave:

    Archaeology,Archeology,Chemistry, Analytical,Chemistry, Inorganic & Nuclear,Geosciences, Multidisciplinary,History
    Area
    Artifacts
    Experimental archaeology
    Lithic assemblages
    Lithic taphonomy
    Machine learning
    Roc curve
    Size
    Use-wear
    Word
    Archaeology
    Archeology
    Chemistry, analytical
    Chemistry, inorganic & nuclear
    Ciencias humanas
    Ciencias sociales
    Geosciences, multidisciplinary
    Historia
    History
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