Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-05T12:34:59.054Z Has data issue: false hasContentIssue false

Guest Editorial

Published online by Cambridge University Press:  01 December 2023

Charles Perreault*
Affiliation:
Institute of Human Origins, School of Human Evolution and Social Change, Arizona State University, USA 1 December 2023
Rights & Permissions [Opens in a new window]

Abstract

Type
Editorial
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Antiquity Publications Ltd

Frontispiece 1. Aerial photograph of the excavation of a Second World War experimental catapult designed to launch bomber aircraft, at Harwell, Oxfordshire, England. The catapult, constructed between 1938 and 1940, was intended to allow planes to take off using shorter runways and less fuel. The prototype comprised a 30m-wide pit with a turntable to align planes on one of two concrete runways, each just 82m long. A towing hook attached to a pneumatic ram was intended to launch the planes into the air but design problems meant the RAE Mark III catapult was never used and the site was abandoned by 1941. A 3D model is available at: https://skfb.ly/oM7Wr. Photograph © MOLA.

Frontispiece 2. A reconstruction of Tenochtitlan, the capital of the Aztec (Mexica) Empire, as it may have looked in AD 1518 when the city had 200 000 or more inhabitants. Drawing on documentary sources, such as codices written shortly after the Spanish conquest of 1519, the image is based on a 3D model created using open-source software including Blender, Gimp and Darktable. Starting with the terrain, the model integrates known points such as the Templo Mayor and uses a rules-based method to populate the rest of the landscape. Further images and comparisons with present-day Mexico City are available at: https://tenochtitlan.thomaskole.nl with text in English, Spanish and Central Nahuatl. Image © Thomas Kole.

Archaeology after the loss of innocence

This year marks the 50th anniversary of the publication of David Clarke's much-cited Antiquity article ‘Archaeology: the loss of innocence’.Footnote 1 While it may not be as renowned today as it once was—especially among those who, like me, were born after its publication—Clarke's portrait of the discipline still resonates. Here, I discuss some of the ways in which the article continues to be relevant before going on to describe how recent developments that Clarke foresaw in his essay have led to advances in archaeological methods and theory through an approach called macroarchaeology.

Clarke's article described a developing discipline characterised by growth spurts and all their associated pains and angst. He characterises this development as a series of transitions from consciousness to self-consciousness and, finally, to critical self-consciousness. The last transition is marked by the development of a meta-understanding of the discipline and its epistemological foundations, and it is a transition whose symptoms persist. Not least, disciplinary sectarianism was anything but “temporary”, as Clarke had optimistically hoped.Footnote 2 The bruising battles of the post-processual archaeology era were never fully resolved. Rather, they gave rise to a truce—live and let live—with no apparent way out; the discipline remains as divided as ever.

In addition, archaeologists continue to draw from a stock of explanatory models that are often at odds with the nature of archaeological data. Clarke's criticism remains valid: “To interpret the French Mousterian sequence, of more than 30,000 years duration, in terms of the acrobatic manoeuvrings of five typological tribes is tantamount to an attempt to explain the Vietnam war in terms of electron displacements.”Footnote 3 Wrong hierarchical scale, wrong spatial scale, and wrong temporal scale. Archaeologists often interpret the archaeological record in terms of processes borrowed from other disciplines that operate over short time scales of a decade or less.Footnote 4 For various reasons, historical and other, archaeologists tend to view themselves as ethnographers of the past. We try to translate a heavily fragmented, incomplete, mixed and distorted record into ethnographic vignettes recognisable to a cultural anthropologist. Like ethnographers, our primary interest often lies in individuals and the processes that influence them, whether agentic, ecological, economic, social or ideological and that thus operate over time scales shorter than that of a human lifespan. Since these processes cannot be observed directly in the record, they must be inferred indirectly using unverified—and unverifiable—proxies. For this research strategy to work, archaeologists must use ‘the test of consistency’ to support their interpretations, that is, interpretations are accepted when they can be made consistent with the data.Footnote 5 However, consistency is not enough to make claims about the past. Given the information-loss processes that act on archaeological data, many confounding factors cannot be controlled and can create false positive or false negative results. The more significant the discrepancy between the scale of the data and the scale at which the processes of interest operate, the more acute this problem of underdetermination becomes.

Clarke argued that for the field to mature and resolve these issues, it must answer fundamental, if sometimes “demoralising”,Footnote 6 questions such as how we know what we appear to know reliably. The first step in that direction, he contended, must be a “comprehensive archaeological general theory” that links “predepositional, depositional, postdepositional, retrieval, analytical and interpretive models”.Footnote 7 Building upon previous efforts to address Clarke's challenge (discussed, for example by Schiffer and Bailey),Footnote 8 this general theory is effectively what I set out in the book The quality of the archaeological record. There, I estimate the expected distribution of resolution, interval scale and richness of archaeological data and describe how this quality constrains what we can and cannot study. Based on this, I argue for a recalibration of the research questions of the wider discipline.

If archaeologists want to produce reliable knowledge, we must scrap the consistency test and replace it with a ‘smoking gun’ approach. As a discipline, we must find evidence that is not just consistent with a hypothesis, but that also discriminates between plausible competing theories. The bar should be set high: a question is only ever answered if supported by evidence beyond a reasonable doubt. Given the incomplete nature of the archaeological record, smoking guns for many, if not most, ethnographic-level explanations will likely never be found. Hence, we need to focus on those areas where archaeology can make strong knowledge claims.

Three misunderstandings of this argument inhibit a transition to a critical self-consciousness by a broader part of the archaeological community. First, a ‘smoking gun’ does not mean that a singular find can resolve the complex questions that we ask. Rather, it is a metaphor that refers to any evidence(s) that can discriminate unambiguously between competing hypotheses. This can include a statistical model or a dataset with thousands of data points. The concept of the smoking gun is helpful because it captures how the historical sciences work: first, traces must be found in the field—they cannot be manufactured in a laboratory; and second, these traces must discriminate between competing hypotheses.

The second misunderstanding is that ‘beyond a reasonable doubt’ is, to some, an unrealistic bar to pass and one that does not capture how science works. I disagree. Beyond a reasonable doubt does not mean something has been ‘proven’ or will not be revised in the future. Instead, it means any reasonable person who understands the competing hypotheses would reach the same conclusion when presented with the data. Archaeology should aim for such strong inferences. We have already produced results that are beyond a reasonable doubt. That agriculture in Europe originates from South-west Asia or that state societies emerged only during the Holocene are overwhelmingly supported by empirical evidence, even if they are, and always will be, hypotheses susceptible to revision. These strong inferences are victims of their own success: they are so well supported that they have faded into background knowledge and are taken for granted.

The final misunderstanding preventing a transition to critical self-consciousness is that some archaeologists believe it is by asking unanswerable questions that we make progress. Hard questions, the argument goes, push us to rack our brains, develop new methods, and expand the range of traces we can recover in the field. This is overstated; advances in methods and techniques often come from outside the discipline and are made independently of our research interests. The danger in centring our research programmes on questions that we know, a priori, cannot be answered beyond a reasonable doubt is that we end up assuming the very thing we set out to find, settling on an interpretation, despite lacking a smoking gun, merely because it is consistent with the data. This will never be productive. No one would want a judicial system that found people guilty and sent them to prison without proper evidence because, perhaps, such evidence might be found in some distant future. Likewise, no one would argue that such a judicial system is justified because it could someday lead to advances in forensic techniques. These are not insurmountable problems, and seeking to settle unlikely questions is fine if one accepts that questions remain unanswered until a smoking gun is found, if ever. But would it not be better to return to these questions after the methods to answer them have been developed?

One of the central claims in The quality of the archaeological record is that archaeologists need to focus on those questions that can realistically be expected to be answered beyond a reasonable doubt. Two kinds of research agenda are commensurate with the archaeological record's quality and amenable to a search for smoking guns: cultural history and macroarchaeology.

Cultural history here does not mean the late-nineteenth-century theory that emphasised the history of ethnic groups and ‘cultures’ (and which was often instrumentalised for nationalistic political agendas). Instead, it refers to making inferences about the distributions and boundaries of cultural elements in time and space, determining their relatedness, sources and trajectories, and constructing narratives of the events that shaped these distributions. For instance, how did bow-and-arrow technology diffuse across Eurasia, or how did basketry technology in coastal Peru change over millennia? When were pigs first domesticated, and how quickly did the practice spread? Were the first full-time residents of the Tibetan Plateau foragers or farmers? Cultural history thus entails more than describing physical finds and situating them in time and space. It stands somewhere between dating phenomena and constructing archaeological chronologies and trying to explain them in functional terms. The questions of cultural history are certainly of a type that we can answer beyond a reasonable doubt and they account for much of the epistemologically valid work the field has produced.

Similarly, macroarchaeology is the task of detecting patterns and processes that are not visible at the individual level but only in the aggregate, over thousands of years and across thousands of kilometres. It demands a particular research strategy that includes:

  1. 1. A focused set of research questions. Macroarchaeology is concerned with characterising statistical patterns of rates of cultural change, abundance, distribution and diversity, and explaining these patterns in terms of macroscale drivers such as climate change and biogeography.

  2. 2. A programme centred on archaeological entities. It is material culture-centric, not individual-, behavioural, or socio-centric. Its primary interest is in archaeological entities and their distributions in time and space, not social, economic and ideological processes in the past, at least never directly. This is what Clarke describes in Analytical archaeology:Footnote 9 “archaeology as archaeology” as opposed to “archaeology as anthropology”.Footnote 10

  3. 3. An interest in the general properties of archaeological entities. These entities are not technology- or culture-specific and include temporal ranges, geographical ranges, diversity, efficiency and complexity. These variables have the advantage of being observable directly in the archaeological record.

  4. 4. Macroscale databases with broad temporal and spatial scope. Macroscale patterns and processes are only detectable over vast amounts of time and space. Macroscale databases also reduce the chances of observing false patterns and help reduce issues of underdetermination.Footnote 11

Over the past few years, a small group of archaeologists has been quietly laying the foundations for the study of macroscale phenomena in the archaeological record. The first item on the list above will naturally emerge from any programme combining the three others. Here, I discuss advances made on items #2 and #4. Some of these advances involve general archaeological properties (#3), but much work remains to be done on this front.

Among the most natural archaeological entities that are amenable to macroarchaeological research are artefact typologies and other cultural taxonomies.Footnote 12 These have recently been the subject of renewed interest, including a debate article in this journal with responses.Footnote 13 Of particular interest are the circumstances under which cultural taxonomies capture empirical realities.Footnote 14 Recent statistical and computing methods are also being leveraged to create robust cultural taxonomies.Footnote 15 This is foundational work for the construction of a macroarchaeology programme.

Another crucial step recently made towards macroarchaeology has been the advent of macroscale databases. Clarke foresaw this development, and he noted the “sense-extending” capacity of “computer methodology”, which, like a telescope, allows us to scrutinise massive ensembles over a vast scale.Footnote 16 Macroscale databases let us look at galaxies of cultural data. A recent crop of databases, listed in Table 1, are differentiated from previous regional or national archaeological datasets by virtue of their scope, encompassing thousands of years and vast distances, sometimes even multiple continents.

Table 1. Examples of macroscale databases. For details of Sources, see References section.

These efforts have borne fruit and led to the discovery of several macroarchaeological patterns and processes, including:

  • the temporal frequency distributions of radiocarbon ages of European Neolithic cultures are normally distributed;Footnote 17

  • increases in technological efficiency in stone tool technology may have been accompanied by an increased variation of the efficiency distribution;Footnote 18

  • projectile point diversity in Late Pleistocene North America increased exponentially over time, while spatial extent decreased exponentially, consistent with an evolutionary branching process;Footnote 19

  • the spatial area of point types is wider than those of tribal region and resemble that of large language groupings;Footnote 20

  • cultural evolution of Arctic technology acted on a species-like scale, with traditions forming integrated and isolated clades that show little evidence for blending;Footnote 21

  • the frequency distribution of settlement persistence is heavy-tailed, possibly log-normal or power-law;Footnote 22

  • the exponent of the scaling relation between population and settlement area varies between 2/3 and 5/6.Footnote 23

Examples of macroscale processes include:

  • climatic drivers, especially high-amplitude variability in precipitation, leading to continental-scale demographic downturns;Footnote 24

  • that the persistence of settlements is positively correlated with environmental productivity;Footnote 25

  • that significantly wetter climatic conditions are correlated to an increase in the frequency of radiocarbon dates;Footnote 26

  • that the advent of complex societies marked a decoupling of climate and demography;Footnote 27

  • and that booms-and-busts, not steady population growth, followed the introduction of agriculture in Europe.Footnote 28

It should be emphasised that macroarchaeology is not the same as cultural macroevolution archaeology. The former follows from the nature of the archaeological record. The latter, in contrast, derives from a theory of cultural inheritance and the multi-scalar, hierarchical properties of evolution. As Prentiss notes, cultural macroevolution archaeology existed before my book with its macroarchaeology programme was published.Footnote 29 However, cultural macroevolutionary archaeology has tended to emphasise the hierarchical level of analysis and not the scope of its sampling universe.Footnote 30 As a result, most examples of cultural macroevolution archaeology are small regional studies with a scope too small to count as macroarchaeology, as defined here. That said, I believe macroarchaeology and cultural macroevolutionary archaeology are related, and I can see how one naturally leads to the other. Moreover, the tent of macroarchaeology is broad and ought to be able to accommodate those who have been critical of cultural macroevolutionary archaeology. After all, one does not need to be an evolutionist to appreciate the archaeological record's limitations and the underdetermination crisis that plagues the field.

Clarke began his article by stating that the loss of disciplinary innocence may come at a high price but also with a substantial prize.Footnote 31 This prize, I believe, includes the discovery of macroscale patterns and processes. But it has taken five decades for the macroscale databases that Clarke foresaw to become available. My book explores in detail the historical, conceptual and psychological reasons that explain this delay.Footnote 32 In addition, there were practical and technological reasons for this slow progress. The digital revolution and the internet, for instance, have undoubtedly made the construction of macroscale databases easier, as has the creation of digital data repositories, such as the Digital Archaeological Record (tDAR.org) and ARIADNE (portal.ariadne-infrastructure.eu), organisations such as the Coalition for Archaeological Synthesis (www.archsynth.org) and the Journal of Open Archaeological Data. With the developments outlined here, macroarchaeology may lead to a unified research programme as it de-emphasises the numerous, and often underdetermined, processes that operate over time scales of decades or less. In doing so, macroarchaeology may decrease the sectarianism that has prevailed ever since Clarke published his article 50 years ago. That is my hope for the archaeology of the next five decades.

Footnotes

1 Clarke, D. 1973. Archaeology: the loss of innocence. Antiquity 47: 6–18. https://doi.org/10.1017/S0003598X0003461X

2 Clarke, D. 1973, p.11.

3 Clarke, D. 1973, p.10.

4 Bailey, G.N. 1981. Concepts, time-scales and explanations in economic prehistory, in A. Sheridan & G.N. Bailey (ed.) Economic archaeology: towards an integration of ecological and social approaches (British Archaeological Reports International series 96): 99–117. Oxford: BAR; Perreault, C. 2019. The quality of the archaeological record. Chicago (IL): University of Chicago Press. https://doi.org/10.7208/chicago/9780226631011.001.0001

5 Perreault, C. 2019, pp.8–14.

6 Clarke, D. 1973, p.7.

7 Clarke, D. 1973, p.16.

8 Schiffer, M.B. 1987. Formation processes of the archaeological record. New York: Academic Press; Bailey, G. 2007. Time perspectives, palimpsests and the archaeology of time. Journal of Anthropological Archaeology 26: 198–223. https://doi.org/10.1016/j.jaa.2006.08.002

9 Clarke, D. 1968. Analytical archaeology. London: Methuen.

10 Shennan, S. 1989. Archaeology as archaeology or as anthropology? Clarke's Analytical archaeology and the Binfords’ New perspective in archaeology 21 years on. Antiquity 63: 831–35. https://doi.org/10.1017/S0003598X00076985

11 Perreault, C. 2019, pp.181–88.

12 Clarke, D. 1968. Analytical archaeology. London: Methuen.

13 Reynolds, N. & F. Riede. 2019. House of cards: cultural taxonomy and the study of the European Upper Palaeolithic. Antiquity 93: 1350–58. https://doi.org/10.15184/aqy.2019.49

14 For example, Clark, G.A. & J. Riel-Salvatore. 2006. Observations on systematics in Paleolithic archaeology, in E. Hovers & S.L. Kuhn (ed.) Transitions before the transition: Evolution and stability in the Middle Paleolithic and Middle Stone Age: 29–56. New York: Springer. https://doi.org/10.1007/0-387-24661-4_3; Serwatka, K. & F. Riede. 2016. 2D geometric morphometric analysis casts doubt on the validity of large tanged points as cultural markers in the European Final Palaeolithic. Journal of Archaeological Science: Reports 9: 150–59. https://doi.org/10.1016/j.jasrep.2016.07.018; MacLeod, N. 2018. The quantitative assessment of archaeological artifact groups: beyond geometric morphometrics. Quaternary Science Reviews 201: 319–48. https://doi.org/10.1016/j.quascirev.2018.08.024 Ivanovaitė, L., K. Serwatka, C.S. Hoggard, F. Sauer & F. Riede. 2020. All these fantastic cultures? Research history and regionalization in the Late Palaeolithic tanged point cultures of Eastern Europe. European Journal of Archaeology 23: 162–85. https://doi.org/10.1017/eaa.2019.59; Barton, C.M. & G.A. Clark. 2021. From artifacts to cultures: technology, society, and knowledge in the Upper Paleolithic. Journal of Paleolithic Archaeology 4: 16. https://doi.org/10.1007/s41982-021-00091-8; Matzig, D.N., S.T. Hussain & F. Riede. 2021. Design space constraints and the cultural taxonomy of European Final Palaeolithic large tanged points: a comparison of typological, landmark-based and whole-outline geometric morphometric approaches. Journal of Paleolithic Archaeology 4: 27. https://doi.org/10.1007/s41982-021-00097-2

15 Matzig, D.N., S.T. Hussain & F. Riede. 2021. Design space constraints and the cultural taxonomy of European Final Palaeolithic large tanged points: a comparison of typological, landmark-based and whole-outline geometric morphometric approaches. Journal of Paleolithic Archaeology 4: 27. https://doi.org/10.1007/s41982-021-00097-2

16 Clarke, D. 1973, p.9.

17 Manning, K., A. Timpson, S. Colledge, E. Crema, K. Edinborough, T. Kerig & S. Shennan. 2014. The chronology of culture: a comparative assessment of European Neolithic dating approaches. Antiquity 88: 1065–80. https://doi.org/10.1017/S0003598X00115327

18 Režek, Ž., H.L. Dibble, S.P. McPherron, D.R. Braun & S.C. Lin. 2018. Two million years of flaking stone and the evolutionary efficiency of stone tool technology. Nature Ecology and Evolution 2: 628–33. https://doi.org/10.1038/s41559-018-0488-4

19 Hamilton, M.J., B. Buchanan & R.S. Walker. 2019. Spatiotemporal diversification of projectile point types in western North America over 13,000 years. Journal of Archaeological Science: Reports 24: 486–95. https://doi.org/10.1016/j.jasrep.2019.01.029

20 Buchanan, B., M.J. Hamilton, J.C. Hartley & S.L. Kuhn. 2019. Investigating the scale of prehistoric social networks using culture, language, and point types in western North America. Archaeology and Anthropological Sciences 11: 199–207. https://doi.org/10.1007/s12520-017-0537-y

21 Prentiss, A.M., M.J. Walsh, E. Gjesfjeld, M. Denis & T.A. Foor. 2022. Cultural macroevolution in the middle to late Holocene Arctic of east Siberia and North America. Journal of Anthropological Archaeology 65: 101388. https://doi.org/10.1016/j.jaa.2021.101388

22 Crawford, K., A. Huster, M. Peeples, N. Gauthier, M. Smith, J. Lobo, A.M. York & D. Lawrence. 2023. A systematic approach for studying the persistence of settlements in the past. Antiquity 97: 213–30. https://doi.org/10.15184/aqy.2022.175

23 Ortman, S.G., J. Lobo & M.E. Smith. 2020. Cities: complexity, theory and history. PLoS ONE 15: e0243621. https://doi.org/10.1371/journal.pone.0243621

24 Riris, P. & M. Arroyo-Kalin. 2019. Widespread population decline in South America correlates with mid-Holocene climate change. Scientific Reports 9: 6850. https://doi.org/10.1038/s41598-019-43086-w

25 Prentiss, A.M., M.J. Walsh, E. Gjesfjeld, M. Denis & T.A. Foor. 2022. Cultural macroevolution in the middle to late Holocene Arctic of east Siberia and North America. Journal of Anthropological Archaeology 65: 101388. https://doi.org/10.1016/j.jaa.2021.101388

26 Palmisano, A., D. Lawrence, M.W. De Gruchy, A. Bevan & S. Shennan. 2021. Holocene regional population dynamics and climatic trends in the Near East: a first comparison using archaeo-demographic proxies. Quaternary Science Reviews 252: 106739. https://doi.org/10.1016/j.quascirev.2020.106739

27 Palmisano, A., D. Lawrence, M.W. De Gruchy, A. Bevan & S. Shennan. 2021.

28 Shennan, S., S.S. Downey, A. Timpson, K. Edinborough, S. Colledge, T. Kerig, K. Manning & M.G. Thomas. 2013. Regional population collapse followed initial agriculture booms in mid-Holocene Europe. Nature Communications 4: 2486. https://doi.org/10.1038/ncomms3486

29 Prentiss, A.M. 2020. Review of The quality of the archaeological record by Charles Perreault. American Antiquity 85: 392–3. https://doi.org/10.1017/aaq.2020.3

30 According, for example, to O'Brien, M.J. & R.L. Lyman. 2000. Applying evolutionary archaeology. New York: Kluwer Academic/Plenum. https://doi.org/10.1007/b100324 and Prentiss, A.M., I. Kuijt & J.C. Chatters (ed.) 2009. Macroevolution in human prehistory. New York: Springer. https://doi.org/10.1007/978-1-4419-0682-3

31 Clarke, D. 1973, p.6.

32 Perreault, C. 2019.

References

References cited in Table 1

Anderson, D.G., Wells, J.W., Yerka, S., Myers, K.N., Demuth, R.C. & Bisset, T.G.. 2019. DINAA sites from aggregate totals, in Kansa, S. W. and Kansa, E.C. (ed.) Digital Index of North American Archaeology (DINNA). Available at https://opencontext.org/projects/e0ea772b-a64f-4758-93aa-8db3b07564a3 (accessed 1 October 2023).Google Scholar
ArkeOpen, n.d. Available at Arkeopen.org (accessed 1 October 2023).Google Scholar
Bird, D. et al. 2022. p3k14c, a synthetic global database of archaeological radiocarbon dates. Scientific Data 9: 27. https://doi.org/10.1038/s41597-022-01118-7CrossRefGoogle ScholarPubMed
Colledge, S. 2016. The cultural evolution of Neolithic Europe. EUROEVOL Dataset 3: Archaeobotanical Data. Journal of Open Archaeology Data 5: e1. https://doi.org/10.5334/joad.42Google Scholar
Crawford, K., Huster, A., Peeples, M., Gauthier, N., Smith, M., Lobo, J., York, A. M. & Lawrence, D.. 2023. A systematic approach for studying the persistence of settlements in the past. Antiquity 97: 213–30. https://doi.org/10.15184/aqy.2022.175CrossRefGoogle Scholar
Goldstein, S. et al. 2022 Presenting the AfriArch isotopic database. Journal of Open Archaeology Data 10: e6. https://doi.org/10.5334/joad.94CrossRefGoogle Scholar
Hamilton, M.J., Buchanan, B. & Walker, R.S.. 2019. Spatiotemporal diversification of projectile point types in western North America over 13,000 years. Journal of Archaeological Science: Reports 24: 486–95. https://doi.org/10.1016/j.jasrep.2019.01.029Google Scholar
Hussain, S.T. et al. 2023. A pan-European dataset revealing variability in lithic technology, toolkits, and artefact shapes ~15-11 kya. Scientific Data 10(593). https://doi.org/10.1038/s41597-023-02500-9CrossRefGoogle ScholarPubMed
Justice, N.D. 1987. Stone age spear and arrow points of California and the Great Basin. Bloomington: Indiana University Press.Google Scholar
Justice, N.D. 2002a. Stone age spear and arrow points of the southwestern United States. Bloomington: Indiana University Press.Google Scholar
Justice, N.D. 2002b. Stone age spear and arrow points of California and the Great Basin. Bloomington: Indiana University Press.Google Scholar
Kandal, A.W. et al. 2023. The ROCEEH Out of Africa Database (ROAD): a large-scale research database serves as an indispensable tool for human evolutionary studies. PLoS ONE 18(8): e0289513. https://doi.org/10.1371/journal.pone.0289513CrossRefGoogle Scholar
Manning, K. 2016. The cultural evolution of Neolithic Europe. EUROEVOL Dataset 2: Zooarchaeological Data. Journal of Open Archaeology Data 5: e3. https://doi.org/10.5334/joad.41Google Scholar
Manning, K., Colledge, S., Crema, E., Shennan, S. & Timpson, A.. 2016. The cultural evolution of Neolithic Europe. EUROEVOL Dataset 1: Sites, Phases and Radiocarbon Data. Journal of Open Archaeology Data 5: e2. https://doi.org/10.5334/joad.40Google Scholar
Mills, B., Ram, S., Clark, J., Ortman, S. & Peeples, M.. 2020. CyberSW Version 1.0. Archaeology Southwest, Tucson. Available at cybersw.org (accessed 1 October 2023).Google Scholar
Nishiaki, Y. & Kondo, Y.. 2023. Middle and Upper Paleolithic sites in the Eastern hemisphere: a database (PaleoAsiaDB). Singapore: Springer. Database available online at http://umdb2.um.u-tokyo.ac.jp/fmi/webd/PaleoAsiaDB (accessed 1 October 2023).CrossRefGoogle Scholar
Ortman, S.G., Lobo, J. & Smith, M.E.. 2020. Cities: complexity, theory and history. PLoS ONE 15(12): e0243621. https://doi.org/10.1371/journal.pone.0243621CrossRefGoogle ScholarPubMed
Paige, J. & Perreault, C.. In press. A dataset describing the manufacturing of stone tools over 3 million years. Journal of Open Archaeological Data.Google Scholar
Palmisano, A., Bevan, A., Lawrence, D. & Shennan, S.. 2022. The NERD dataset: Near East radiocarbon dates between 15,000 and 1,500 cal. yr. BP. Journal of Open Archaeology Data 10: e2. https://doi.org/10.5334/joad.90CrossRefGoogle Scholar
Pan-American Ceramics Project n.d. Available at https://www.panamericanceramics.org (accessed 1 October 2023).Google Scholar
Prentiss, A.M., Walsh, M.J., Gjesfjeld, E., Denis, M. & Foor, T.A.. 2022. Cultural macroevolution in the middle to late Holocene Arctic of east Siberia and North America. Journal of Anthropological Archaeology 65: 101388. https://doi.org/10.1016/j.jaa.2021.101388CrossRefGoogle Scholar
Režek, Ž., Dibble, H.L., McPherron, S.P., Braun, D.R. & Lin, S.C.. 2018. Two million years of flaking stone and the evolutionary efficiency of stone tool technology. Nature Ecology and Evolution 2: 628–33. https://doi.org/10.1038/s41559-018-0488-4CrossRefGoogle ScholarPubMed
Figure 0

Frontispiece 1. Aerial photograph of the excavation of a Second World War experimental catapult designed to launch bomber aircraft, at Harwell, Oxfordshire, England. The catapult, constructed between 1938 and 1940, was intended to allow planes to take off using shorter runways and less fuel. The prototype comprised a 30m-wide pit with a turntable to align planes on one of two concrete runways, each just 82m long. A towing hook attached to a pneumatic ram was intended to launch the planes into the air but design problems meant the RAE Mark III catapult was never used and the site was abandoned by 1941. A 3D model is available at: https://skfb.ly/oM7Wr. Photograph © MOLA.

Figure 1

Frontispiece 2. A reconstruction of Tenochtitlan, the capital of the Aztec (Mexica) Empire, as it may have looked in AD 1518 when the city had 200 000 or more inhabitants. Drawing on documentary sources, such as codices written shortly after the Spanish conquest of 1519, the image is based on a 3D model created using open-source software including Blender, Gimp and Darktable. Starting with the terrain, the model integrates known points such as the Templo Mayor and uses a rules-based method to populate the rest of the landscape. Further images and comparisons with present-day Mexico City are available at: https://tenochtitlan.thomaskole.nl with text in English, Spanish and Central Nahuatl. Image © Thomas Kole.

Figure 2

Table 1. Examples of macroscale databases. For details of Sources, see References section.