Manual restrictions on Palaeolithic technological behaviours

A Middle Pleistocene abrading tool from Tabun Cave, Israel: A search for the roots of abrading technology in human evolution

During the reanalysis of the finds from Jelinek's and Ronen's excavations at Tabun Cave, Israel, we encountered a cobble bearing traces of mechanical alterations similar to those recorded on grinding tools. However, the artifact derives from the early layers of the Acheulo-Yabrudian complex of the late Lower Paleolithic (ca. 350 ka), a time with no evidence for grinding or abrasion. Accordingly, we sought to determine whether the traces on the artifact can be attributed to purposeful human action. We conducted a detailed use-wear analysis of the cobble and implemented an experimental program, gaining positive results for the hypothesis of purposeful human practice. We argue that the significance and novelty of early abrading technology is that it marks a new mode of raw material manipulation-one that is categorically different from other modes of tool use observed among earlier hominins or other primates and animals. Throughout the Early Pleistocene, use of stone tools was associated with vertical motions (battering, pounding, striking) or with the application of a thin or narrow working edge, leveled at cutting or scraping. Conversely, abrading consists in applying a wide working surface in a continuous sequence of horizontal motions, geared to modify or reduce the surfaces of a targeted material. The emergence of this technology joins additional behavioral changes recently identified and attributed to the Middle Pleistocene, illustrating the growing and diversifying capabilities of early hominins to harness technology to shape their environment.

The unexpected importance of the fifth digit during stone tool production

Unique anatomical features of the human hand facilitate our ability to proficiently and forcefully perform precision grips and in-hand manipulation of objects. Extensive research has been conducted into the role of digits one to three during these manual behaviours, and the origin of the highly derived first digit anatomy that facilitates these capabilities. Stone tool production has long been thought a key influence in this regard. Despite previous research stressing the unique derived morphology of the human fifth digit little work has investigated why humans alone display these features. Here we examine the recruitment frequency, loading magnitude, and loading distribution of all digits on the non-dominant hand of skilled flintknappers during four technologically distinct types of Lower Palaeolithic stone tool production. Our data reveal the fifth digit to be heavily and frequently recruited during all studied behaviours. It occasionally incurred pressures, and was used in frequencies, greater or equal to those of the thumb, and frequently the same or greater than those of the index finger. The fifth digit therefore appears key to >2 million years of stone tool production activities, a behaviour that likely contributed to the derived anatomy observed in the modern human fifth ray.

Understanding stone tool-making skill acquisition: Experimental methods and evolutionary implications

Despite its theoretical importance, the process of stone tool-making skill acquisition remains understudied and poorly understood. The challenges and costs of skill learning constitute an oft-neglected factor in the evaluation of alternative adaptive strategies and a potential source of bias in cultural transmission. Similarly, theory and data indicate that the most salient neural and cognitive demands of stone tool-making should occur during learning rather than expert performance. Unfortunately, the behavioral complexity and extensive learning requirements that make stone knapping skill acquisition an interesting object of study are the very features that make it so challenging to investigate experimentally. Here we present results from a multidisciplinary study of Late Acheulean handaxe-making skill acquisition involving twenty-six naïve participants and up to 90 hours training over several months, accompanied by a battery of psychometric, behavioral, and neuroimaging assessments. In this initial report, we derive a robust quantitative skill metric for the experimental handaxes using machine learning algorithms, reconstruct a group-level learning curve, and explore sources of individual variation in learning outcomes. Results identify particular cognitive targets of selection on the efficiency or reliability of tool-making skill acquisition, quantify learning costs, highlight the likely importance of social support, motivation, persistence, and self-control in knapping skill acquisition, and illustrate methods for reliably reconstructing ancient learning processes from archaeological evidence.