Ethnoarchaeology: A Non Historical Science of Reference Necessary for Interpreting the Past

Ethnoarchaeology appears nowadays as a poorly formulated field. However, it could become a real science of reference for interpreting the past if it was focused upon well-founded cross-cultural correlates, linking material culture with static and dynamic phenomena. For this purpose, such correlates have to be studied in terms of explanatory mechanisms. Cross-cultural correlates correspond to those regularities where explanatory mechanisms invoke universals. These universals can be studied by reference to the theories found in the different disciplines they relate to and which are situated outside of the domain of archaeology. In the domain of technology, cross-cultural correlates cover a wide range of static and dynamic phenomena. They allow the archaeologist to interpret archaeological facts—for which there is not necessarily analogue—in terms of local historical scenario as well as cultural evolution. In this respect, it is shown that ethnoarchaeology, when following appropriate methodologies and focussing on the universals that underlie the diversity of archaeological facts, does provide the reference data needed to climb up in the pyramid of inferences that make up our interpretative constructs.     

日本史学中“近世”概念的流变

日本史学中“近世”一词,出现于江户时代,原是当时人自指,即“最近时代”之义。明治维新之后,“近世”所指时代仍为江户时代,其涵义则与近代对立,以至于被归入中世"第二次世界大战后史学的发展使近世得以脱离中世范畴,被视为一个独立时代概念。而在地域研究和近代化论兴起的背景下,近世与当代的关系得到强调,近世的内涵又出现了“最近时代”的意味。“近世”概念出现至今,经历了变义、独立而回归的过程"     

Continental Patterns in Stone Tools: A Technological and Biplot-Based Comparison of Early Late Pleistocene Assemblages from Northern and Southern Africa

The technology of the end products i.e. blades and points in Late Pleistocene stone artefact assemblages from Klasies River, South Africa, and the Nile Valley, Egypt, are compared. The comparison includes univariate and multivariate analysis of metrical attributes enhanced by graphical biplot displays. The end products in these assemblages are either dominantly points or blades and this is related to the core reduction strategy adopted. The MSA 11 from Klasies River and the Nubian Complex industry from the Nile Valley are point industries made in the Levallois tradition, while the MSA 1 from Klasies River and the Taramsan from the Nile Valley may be non-Levallois or adapted Levallois blade industries. Dating of the assemblages shows the changes between dominant core reduction strategies are sequential and time restricted in both South and North Africa. It is concluded that variability of the same kind occurs in Middle Stone Age and Middle Palaeolithic assemblages south and north of the Sahara in the early Late Pleistocene.Dans cet article, les technologies des produits recherchés, des lames et des pointes, pour certains ensembles lithiques de Klasies River, Afrique du Sud et la Vallée du Nil, Egypte, sont comparées. Cette comparaison implique des analyses univariées et multivariées de variables métriques biplot. Les produits recherchés sont bien des pointes que des lames, selon les stratégies dexploitation adoptées. Le MSA II de Klasies River et le Complexe nubien de la Vallée du Nil sont des industries à pointes issues de la tradition Levallois. Par contre, le MSA I de Klasies River et le Taramsien de la Vallée du Nil évoquent une technologie de production non-Levallois ou Levallois modifiée. Les éléments de datation disponibles indiquent que les changements dans la prépondérance des stratégies dexploitation senchaînent dans une séquence chronologique bien identifiable, aussibien dans lAfrique du Sud que lAfrique du Nord. On arrive à la conclusion quune variabilité du même caractère est attestée dans les ensembles du Middle Stone Age et du Paléolithique moyen au sud et au nord du Sahara, pendant le Pléistocène supérieur ancien.     

Evaluating the Temporal and Spatial Heterogeneity of the European Convergence Process, 1980–1999*

Abstract. In this paper, we suggest a framework that allows testing simultaneously for temporal heterogeneity, spatial heterogeneity, and spatial autocorrelation in β‐convergence models. Based on a sample of 145 European regions over the 1980–1999 period, we estimate a Seemingly Unrelated Regression Model with spatial regimes and spatial autocorrelation for two sub‐periods: 1980–1989 and 1989–1999. The assumption of temporal independence between the two periods is rejected, and the estimation results point to the presence of spatial error autocorrelation in both sub‐periods and spatial instability in the second sub‐period, indicating the formation of a convergence club between the peripheral regions of the European Union.