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The Abundance Index
Abstract
The reasons for historical archaeology's current low-level of engagement with actual artifact data when dealing with questions of consumption are complex and interwoven. Explaining variation in the archaeological record is a difficult task that requires attention to a host of variables, including occupation span and intensity, the social and economic contexts faced by the site's occupants, their cultural backgrounds, as well as excavation methods, and post-depositional processes. This chapter offers a novel method to measure artifact class abundance that helps overcome some of these difficulties. It uses that method to explore patterns of change and synchronic variation in the acquisition, use, and discard of refined ceramics that flooded Atlantic societies in the 18th century. The chapter presents an overview of the consumer revolution, its participants, and how their demand for novel goods shaped ceramic production.
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“In bringing together on a single platform data from dozens of archaeological sites from the Chesapeake to the Caribbean, DAACS facilitates comparative projects and analyses that require larger samples, longer time frames, or greater geographical diversity than a single site could provide (Galle 2017).”
From African American Archaeology, for Now (2022) · cites this paper as Galle 2017
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Research works printed but not linked: 1
- Armstrong, Douglas . 1990 The Old Village and the Great House: An Archaeological and Historical Examination of Drax Hall Plantation, St. Ann’s Bay, Jamaica. University of Illinois Press, Champaign.
Cited by
African American Archaeology, for Now
Agbe-Davies, A. S. (2022) · Annual Review of Anthropology · doi:10.1146/annurev-anthro-041320-022153 · Cited by 21
Metadata
- Authors
- Galle, J. E.
- Venue
- Material Worlds
- Publisher
- Routledge
- Published
- 2017-02-17
- Pages
- 162-191
- Cited by
- 5
- References
- 0
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.