Quantifying Levallois: a 3D geometric morphometric approach to Nubian technology
Archaeological and Anthropological Sciences (2025) 17:88
https://doi.org/10.1007/s12520-025-02199-2
RESEARCH
Quantifying Levallois: a 3D geometric morphometric approach
to Nubian technology
Emily Hallinan1
· João Cascalheira1
Received: 15 October 2024 / Accepted: 27 February 2025 / Published online: 24 March 2025
© The Author(s) 2025
Abstract
Levallois technology, a hallmark of Middle Palaeolithic stone tool manufacture, involves sophisticated core reduction strategies that have major implications for understanding human cognitive and technological evolution. However, traditional
methods of analysing Levallois cores often fail to capture the nuanced variability in their morphology. This study introduces
a novel application of three-dimensional geometric morphometrics (GM) to quantify the shape variability of Nubian Levallois cores from the Nile Valley and Dhofar regions. By employing this technique, we analysed core surfaces and preferential
scar shapes, identifying distinct regional and technological patterns. Our results reveal significant inter-regional differences
in core elongation and surface convexity, highlighting the importance of shape-oriented, rather than metric-based, analysis
of prepared cores. This new GM approach offers a robust and replicable tool for investigating lithic variability and holds
potential for broader applications in Palaeolithic research, enhancing our understanding of human technological adaptations.
Keywords 3D geometric morphometrics · Levallois · Lithic technology · Nubian Levallois cores
Introduction
Levallois technology is regarded as a hallmark of stone
tool manufacture in the Middle Stone Age in Africa and
the Middle Palaeolithic of Europe and western Asia, associated with at least three hominin species – early humans,
anatomically modern humans and Neanderthals (Foley and
Lahr 1997; Tryon et al. 2005; Hublin 2009). Named after the
area in France, Levallois-Perret, where it was first described
(Boucher de Perthes 1857; de Mortillet 1883; Commont
1909), Levallois is a type of prepared core technology that
involves preparation of the convexities of the core surface
and faceting of the striking platform to control the shape
and size of the final end-product. The degree of planning
involved in the pretermination of the Levallois end-product
has been viewed as an indicator of cognitive complexity
owing to the conceptualisation of the final core and product
form, the sequential method required to achieve it, and social
learning to transmit the process (Schlanger 1996; Lahr and
Foley 2001; Wynn and Coolidge 2004; Lycett et al. 2016).
* Emily Hallinan
1
Interdisciplinary Center for Archaeology and Evolution
of Human Behaviour, University of Algarve, Faro, Portugal
The implications of Levallois for technical and economic
behaviour has also seen varied interpretations, related to its
efficiency (Brantingham and Kuhn 2001; Sandgathe 2004;
Lycett and Eren 2013) and the role of its end-products (Sisk
and Shea 2009; Eren and Lycett 2016; Shimelmitz and Kuhn
2018). Despite the central place that Levallois occupies in
human evolution, its definition (Copeland 1983; Van Peer
1992; Dibble and Bar-Yosef 1995) and identification of both
the technology (Hu et al. 2019a, 2019b; Li et al. 2019; Pallo
2022) and specific Levallois methods in assemblages (Rose
et al. 2011; Goder-Goldberger et al. 2016; Blinkhorn et al.
2021a, 2021b; Hallinan et al. 2022a) remain highly debated
topics.
Definitions of Levallois have shifted over the past decades, yet shape remains a key concept in all of them. In
an early typological approach, Bordes (1950, 1961, 1980)
emphasised that the predetermined shape of the Levallois
flake was achieved through special preparation of the core
prior to its removal, whereby different configurations of
preparatory flaking generated end-products with different
morphologies – flakes, blades or points. Accordingly, the
morphology of the Levallois core was strongly tied to the
end-product shape: an oval core produced an oval flake, a
triangular core produced a triangular flake. Subsequent technological approaches shifted attention away from the final
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flake form towards understanding the Levallois reduction
process (Bar-Yosef and Dibble 1995). Boëda’s (1988, 1994,
1995) widely applied Levallois concept focuses on the geometric structure of the core as a volume, worked through a
series of steps and fulfilling certain criteria. The volume of
the Levallois core must consist of two asymmetric convex
hemispheres that possess a plane of intersection at the core’s
margin. These hemispheres or surfaces are hierarchically
related, each serving a specific, fixed role in reduction: a
preparation surface for the production of striking platforms,
and a flaking surface for the removal of the Levallois product. The flaking surface possesses both lateral and distal
convexities that must be maintained to control the direction of force for the end-product, which is removed parallel
to the plane of intersection. Viewed within a technological
framework, it is the pattern and orientation of the preparatory flaking – not the core shape itself – that determines
the morphology of the end-product (Boëda 1995; Van Peer
1992). However, whether lithic analyses are conducted from
a typological or technological perspective, they encounter
the same limitations – that shape is a qualitative, rather than
quantitative variable.
Geometric morphometrics and Levallois
morphology
Geometric morphometric (GM) approaches provide a statistical framework for studying shape variation – where shape
is the specific geometric configuration of a specimen – independently of size (Slice 2007). Originally developed for
applications in biological sciences (Rohlf and Marcus 1993;
Adams et al. 2004), GM has gained traction as a powerful
tool for quantitative analysis of shape across different aspects
of lithic studies, though most commonly applied to bifaces,
flakes and points since these can be consistently orientated
and aligned according to geometrically correspondent points
(e.g. Lycett et al. 2006; Archer and Braun 2010; Iovita 2011;
Archer et al. 2016, 2018; Herzlinger et al. 2017; Herzlinger
and Grosman 2018; Archer and Presnyakova 2019; Okumura
and Araujo 2019; Timbrell et al. 2022a). As a consequence,
most current GM studies that relate to Levallois technology have focused on debitage, using two-dimensional (Eren
and Lycett 2012; Picin et al. 2014; Buchanan et al. 2023)
and, occasionally, three-dimensional techniques (Chaćon
et al. 2016; González-Molina et al. 2020; Delpiano et al.
2021; Bustos-Perez et al. 2024). The problem of identifying
homologous points between specimens for comparison has
meant that the application of GM to cores has been limited, since this artefact type displays marked variability in
form through continuous, non-uniform reduction trajectories. However, the highly structured geometry of Levallois
cores means that c (...truncated)