Journal of Archaeological Method and Theory最新文献

The Viking Age (c. 800–c. 1050 ad) was characterised by a widespread rise in maritime mobility and interaction, as is made clear by an increasing range of evidence. However, this evidence provides limited information about the sailors and the sailing voyages that connected and transformed the Viking world. This paper presents an approach to reconstruct Viking Age maritime itineraries through the combined use of experimental and digital methods. This approach is grounded in a series of experimental voyages conducted by the author along the Norwegian coast onboard square-rigged, clinker boats built in the descendant Åfjord tradition. The experimental voyages are used to reconstruct the preferences and requirements of Viking Age sailors, helping to define practice-based criteria for evaluating which natural harbours and anchorages might have been favoured during this period. These criteria are complemented by digital reconstructions of historical topographies accounting for changes in relative sea-level since 800 ad. From this combined evaluation, a selection of four possible Viking Age havens is presented. The characteristics and locations of these havens are discussed in relation to contemporary power centres and later seafaring routes. The results suggest that Viking Age seafaring networks along the Norwegian coast may have been more decentralised than their medieval counterparts, and may have relied on relatively outlying nodes on small islands and headlands. The approach highlights the potential of critically combining experimental and digital methods and aims to promote maritime perspectives as an alternative to conventionally terrestrial academic approaches.

Inductive predictive modelling is a controversial tool in archaeology. Visibility, taphonomy and research history can affect the statistical reliability of an archaeological dataset to be used as a training sample for a predictive model. To overcome these biases, an ethnoarchaeological approach has been proposed. This methodology has been developed and tested on a pastoral context in the Eastern Italian Alps. The present research proposes an application to a different, more composite landscape in the Central Italian Alps, testing the reliability of the model in relation to a heterogeneous and diachronic dataset, collected through extensive fieldwork. The results show that the model has an excellent degree of accuracy in predicting past structures with a similar purpose of use as the training sample. In addition, we show that its discriminative power can be greatly improved by the use of contemporary environmental predictors. However, the use of variables non-quantifiable for the past is an issue for the full applicability of this type of model to archaeological datasets. The results also show that this methodology, regardless of predictive results, can give us a good insight into the relationship between humans and their environment. The field application of the methodology has led us to understand that ethnoarchaeology can already be considered a reliable approach to address various methodological concerns of archaeological predictive modelling, but the primary purpose of such models should be seen more as explanatory rather than predictive.

Ethnographic accounts of Melanesian exchange systems, such as the Kula and Hiri, have significantly influenced the development of anthropology. These accounts primarily focus on male agency framed by heroic seafaring ventures, while the agency of women and their cultural practices—key to the interconnectedness of Melanesian societies—has often been overlooked. On Papua New Guinea’s south coast details of women’s cultural practices are available in ethnography, and the remains of the pottery they made survive well in archaeological contexts. This paper reports the results of Scanning Electron Microscopy based Automated Mineralogy (SEM-AM) analyses of selected pottery sherds from two regions on the Papua New Guinea’s south coast located 80 km apart. The sherds are very similar in form and decoration, so we employed precise mineral characterisations to assign the pottery sherds to mineralogical groups and test whether they originated in the same manufacturing location and were traded along the coast. The mineralogical analyses uncovered nuances of past social entanglements, revealing that seafaring alliances and networks were maintained through kinship. We argue that in this instance, pottery-making traditions spread along the coast through the movement of women and intermarriage.

The origin of fire control is considered a major turning point in human evolution and remains a highly debated albeit central subject in archaeology. Studying paleo-fires is challenging because of taphonomic phenomena that alter combustion structures and hinder the identification of the oldest hearths. Moreover, hearths do not record all fire events and do not provide a chronological record of fire. In contrast, speleothems, carbonated cave deposits, can preserve evidence of ancient fires, including soot traces, and these features can be dated directly using radiometric methods. Orgnac 3, an important archaeological sequence in Western Europe, provides a case study on the origins of habitual fire use in this region during the transition between the Lower and Middle Paleolithic. This paper presents the first documented record of over 20 fire events at this ancient site. The habitual use of fire by Mid-Pleistocene hominins at the site is well documented within sooty speleothems, as opposed to relying on scattered and rare traces. The soot deposit sequence at Orgnac 3 is the strongest and best-documented evidence of repeated fire use at the site to date. The robust fire-use chronology is established using stratigraphic U-Th dating of the speleothem. The soot record at Orgnac 3, testifying to fire events during both dry and wet periods, supports the hypothesis that Mid-Pleistocene hominins could control fire around 270,000 years ago in the Rhone Valley, with the possible ability to light it, or at least maintain it over a long term.

The symbolic expression, due to its social and cultural potential, should make a decisive contribution to the reconstruction of Palaeolithic social systems. Paradoxically, the limitations of the traditional study methods do not facilitate the exploitation of this possibility. In this article, we have presented an initial proposal to approach the study of visual rock art from a different perspective, focused in the calculation of the resources invested in the creation of rock art. This allows us to relate it directly to the societies that produced it and the implications it may have had on them. Furthermore, the use of cutting-edge technologies in this approach enables an exhaustive reconstruction of such processes and, ultimately, an objective, quantifiable, and global replicable system to calculate the exact minimum costs and social investment in Palaeolithic art. Consequently, the degree of complexity of the actions related to artistic production and the number of resources invested in it have palaeo-ethnographic implications for the organisation systems of Palaeolithic people. That is, ultimately, we can infer these societies in terms of structural questions such as hierarchy, inequality, division of labour, or knowledge transmission.

This study shows and discusses an innovative approach devised for archaeological feature detection using unmanned aerial system (UAS) LiDAR and an open-source probabilistic machine learning framework. The methodology employs a Random Forest classification algorithm within CloudCompare’s 3DMASC plugin to analyse dense LiDAR point clouds. The main steps include classifier training, hyperparameter adjustment and point cloud segmentation to produce digital terrain models (DTM), digital feature models (DFM) and digital surface models (DSM). Experimenting different parameters led to the determination of the best set to be employed for the training model. Subsequent data enhancement with the Relief Visualisation Toolbox (RVT) refines the visibility of archaeological features, particularly within complex and heavily vegetated terrain. The use case selected to validate this approach is the site of Kastrí-Pandosia in Epirus (Greece), which is particularly suitable for LiDAR analysis by UAS. This approach significantly improves archaeological detection and interpretation, revealing previously inaccessible or obscured microtopographic and structural features. The results highlight the site’s defensive walls, terracing and potential anthropogenic routes, underlining the methodology’s effectiveness in detecting archaeological landscapes at multiple levels. This study emphasises the utility of accessible and open-source solutions for the identification of archaeological features, promoting cost-effective methods to improve the documentation of sites in remote or difficult locations.