The use of early pottery by hunter-gatherers of the Eastern European forest-steppe

Courel, Blandine; Meadows, John; Carretero, Lara González; Lucquin, Alexandre; McLaughlin, Rowan; Bondetti, Manon; Андреев, Константин; Skorobogatov, Andrey; Smolyaninov, Roman Viktorovich; Surkov, Aleksey; Выборнов, Александр Алексеевич; Dolbunova, Ekaterina; Heron, Carl; Craig, Oliver E.

doi:10.1016/j.quascirev.2021.107143

Cited by 16 publications

(15 citation statements)

References 41 publications

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“…Over half of the samples that yielded lipids (814 of 1,425) showed molecular evidence of thermal alteration, which together with the frequent occurrence of carbonized deposits, suggests cooking rather than storage. Plant products are frequent (587 of 1,425), sometimes with fragments of carbonized plant tissues visible within the charred deposit 12 , 24 , but were probably not the main commodities. Typical clear leafy plant lipid profiles are rare and plant biomarkers are generally identified in only small or trace quantities.…”

Section: Resultsmentioning

confidence: 99%

“…11 National History Museum of Latvia, Rīga, Latvia. 12 Russian Research Institute for Cultural and Natural Heritage, Saint Petersburg, Russia. 13 Institute of Archaeology, National Academy of Sciences of Ukraine, Kyiv, Ukraine.…”

Section: Reporting Summarymentioning

confidence: 99%

“…Without major mountain ranges, the study area is highly conducive to human mobility, with only forested morainic hills and upland areas in the Don or Volga catchments as potential impediments. The majority of sites are settlements represented by various pits, platforms, artefact scatters and other ephemeral structures, often located close to major rivers or their tributaries 12 . Faunal and botanical analyses have shown that a broad spectrum of hunted, gathered and fished resources was exploited across the study area [13][14][15] .…”

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confidence: 99%

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The transmission of pottery technology among prehistoric European hunter-gatherers

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Human history has been shaped by global dispersals of technologies, although understanding of what enabled these processes is limited. Here, we explore the behavioural mechanisms that led to the emergence of pottery among hunter-gatherer communities in Europe during the mid-Holocene. Through radiocarbon dating, we propose this dispersal occurred at a far faster rate than previously thought. Chemical characterization of organic residues shows that European hunter-gatherer pottery had a function structured around regional culinary practices rather than environmental factors. Analysis of the forms, decoration and technological choices suggests that knowledge of pottery spread through a process of cultural transmission. We demonstrate a correlation between the physical properties of pots and how they were used, reflecting social traditions inherited by successive generations of hunter-gatherers. Taken together the evidence supports kinship-driven, super-regional communication networks that existed long before other major innovations such as agriculture, writing, urbanism or metallurgy.

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Section: Resultsmentioning

confidence: 99%

Section: Reporting Summarymentioning

confidence: 99%

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The transmission of pottery technology among prehistoric European hunter-gatherers

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“…As they recognize this can only be done in the context of a robust chronology. The present analyses provide an initial step toward addressing that need consistent with the use of Bayesian analyses of radiocarbon datasets worldwide (e.g., [93][94][95][96]).…”

Section: Supporting Informationmentioning

confidence: 94%

The Monongahela tradition in “real time”: Bayesian analysis of radiocarbon dates

Hart

Means²

2022

PLoS ONE

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Despite advances in techniques, methods, and theory, northeastern North American archaeologists continue to use early to mid-twentieth century culture historical taxa as units of analysis and narrative. There is a distinct need to move away from this archaeological practice to enable fuller understandings of past human lives. One tool that enables such a move is Bayesian analysis of radiocarbon dates, which provides a means of constructing continuous chronologies. A large dataset of radiocarbon dates for late prehistoric (ca AD 900/1000–1650) sites in the lower upper Ohio River basin in southwestern Pennsylvania and adjacent portions of Maryland, Ohio, and West Virginia is used here as an example. The results allow a preliminary assessment of how the settlement plans of contemporaneous villages varied considerably, reflecting decisions of the village occupants how to structure built environments to meet their needs.

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“…This has significant advantages for the quality analysis of pottery shards, and researchers mostly use multivariate calibration method and metrological analysis in the pottery material analysis data. Such delicate research work is a must for archaeologists, and for the amateur pottery enthusiasts, these pottery identification works are too costly and of low applicability [ 4 , 5 ]. To make pottery identification more humane and intelligent, some researchers began to try to use machine learning methods for feature learning and classification of pottery categories.…”

Section: Introductionmentioning

confidence: 99%

Mask R-CNN-Oriented Pottery Display and Identification System

Wei

2022

Computational Intelligence and Neuroscience

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Traditional pottery identification methods are time consuming and costly. In order to cater to more pottery industry needs, we propose a Mask R-CNN-based pottery identification method to build an automatic pottery identification system. We first improve the loss function of Mask R-CNN by using generalized intersection over union loss function, through the pattern of migration learning, to compensate for the disadvantage of a small collective amount of pottery data. For different types of pottery, we use the mask algorithm to enhance the features of the outer contour of the pottery. In addition, we use the minimum external matrix algorithm to accurately extract the outer contour bit pose features of pottery to improve the model’s accuracy in recognizing the outer contour of pottery. To meet the testing conditions of pottery, with the support of potters and archaeologists, we make our pottery data set according to pottery categories. The experimental results prove that our method performs best in the comprehensive recognition accuracy of pottery, with the recognition accuracy above 90%. The recognition accuracy is also the best in pottery color decoration and grain decoration, and the grain recognition accuracy stays above 87%, which is better than other pottery recognition methods.

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The use of early pottery by hunter-gatherers of the Eastern European forest-steppe

Cited by 16 publications

References 41 publications

The transmission of pottery technology among prehistoric European hunter-gatherers

The transmission of pottery technology among prehistoric European hunter-gatherers

The Monongahela tradition in “real time”: Bayesian analysis of radiocarbon dates

Mask R-CNN-Oriented Pottery Display and Identification System

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