Literature DB >> 29446559

The handaxe reconsidered.

Thomas Wynn1, John Gowlett2.   

Abstract

The Acheulean handaxe is one of the longest-known and longest-surviving artifacts of the Palaeolithic and, despite its experimentally tested functionality, is often regarded as puzzling. It is unnecessary to invoke a unique-for-mammals genetic mechanism to explain the handaxe phenomenon. Instead, we propose that two nongenetic processes are sufficient. The first is a set of ergonomic design principles linked to the production of sturdy, hand-held cutting tools in the context of a knapped-stone technology that lacked hafting. The second is an esthetic preference for regular forms with gradual curves and pleasing proportions. Neither process is a cultural meme but, operating together in a cultural context, they can account for all of the supposedly puzzling time-space patterns presented by handaxes.
© 2018 Wiley Periodicals, Inc.

Keywords:  Acheulean; Homo erectus; Homo heidelbergensis; aesthetic; ergonomic design

Mesh:

Year:  2018        PMID: 29446559     DOI: 10.1002/evan.21552

Source DB:  PubMed          Journal:  Evol Anthropol        ISSN: 1060-1538


  6 in total

1.  Raw-material selectivity in hook-tool-crafting New Caledonian crows.

Authors:  Barbara C Klump; Mathieu Cantat; Christian Rutz
Journal:  Biol Lett       Date:  2019-02-28       Impact factor: 3.703

2.  A 1.4-million-year-old bone handaxe from Konso, Ethiopia, shows advanced tool technology in the early Acheulean.

Authors:  Katsuhiro Sano; Yonas Beyene; Shigehiro Katoh; Daisuke Koyabu; Hideki Endo; Tomohiko Sasaki; Berhane Asfaw; Gen Suwa
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-13       Impact factor: 11.205

3.  Reply to Barkai: Implications of the Konso bone handaxe.

Authors:  Gen Suwa; Berhane Asfaw; Katsuhiro Sano; Yonas Beyene
Journal:  Proc Natl Acad Sci U S A       Date:  2020-10-27       Impact factor: 11.205

4.  Manual restrictions on Palaeolithic technological behaviours.

Authors:  Alastair J M Key; Christopher J Dunmore
Journal:  PeerJ       Date:  2018-08-16       Impact factor: 2.984

5.  Baldwin effects in early stone tools.

Authors:  Raymond Corbey
Journal:  Evol Anthropol       Date:  2020-08-24

6.  A proof of concept for machine learning-based virtual knapping using neural networks.

Authors:  Jordy Didier Orellana Figueroa; Jonathan Scott Reeves; Shannon P McPherron; Claudio Tennie
Journal:  Sci Rep       Date:  2021-10-07       Impact factor: 4.379

  6 in total

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