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Behavioral ecology and the future of archaeological science
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Insights from behavioral ecology provide clear expectations about what factors should structure past land use.
“Insights from behavioral ecology provide clear expectations about what factors should structure past land use [14,15,25–27]”
From Advancing predictive modeling in archaeology: an evaluation of regression and machine learning methods on the grand staircase-escalante national monument (2020) · cites this paper as [15]
IDMs continue to be useful in conventional applications, and recently these half-century-old models have inspired novel and exciting applications, particularly in archaeology.
“IDMs continue to be useful in such conventional applications, but recently, these half-centuryold models have inspired novel and exciting applications, particularly in the field of archaeology”
From The Ideal Distribution Model and Archaeological Settlement Patterning (2022) · cites this paper as Codding and Bird 2015
Archaeologists have not yet implemented a more comprehensive research strategy that first evaluates model predictions using ethnographic (or experimental) data and then links environmental proxies of suitability to actualised suitability experienced by individuals across varying levels of population density.
“Still, archaeologists have not yet implemented a more comprehensive research strategy (Bird and O'Connell 2006;Codding and Bird 2015;O'Connell 1995) that first evaluates model predictions using ethnographic (or experimental) data and then links environmental proxies of suitability to actualised suitability (e.g. return rates) experienced by individuals across varying levels of population density.”
From The Ideal Distribution Model and Archaeological Settlement Patterning (2022) · cites this paper as Codding and Bird 2015
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The spandrels of San Marco and the Panglossian paradigm: a critique of the adaptationist programme
Gould, S. J., & Lewontin, R. C. (1979) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1979.0086 · Cited by 7,770 · cited 1×
“Some criticisms of the optimization approach mirror those made against the adaptationist paradigm more generally (Gould and Lewontin, 1979), suggesting that some behaviors may not be adaptive at all and assuming traits have a function a priori only facilitates story telling.”
ResultOptimal foraging, the marginal value theorem
Charnov, E. L. (1976) · Theoretical Population Biology · doi:10.1016/0040-5809(76)90040-x · Cited by 5,374
On Optimal Use of a Patchy Environment
MacArthur, R. H., & Pianka, E. R. (1966) · The American Naturalist · doi:10.1086/282454 · Cited by 4,593
Bliege Bird, R., Bird, D. W., Codding, B. F., Parker, C. H., & Jones, J. H. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804757105 · Cited by 494
Self-citationThe hunting handicap: costly signaling in human foraging strategies
Bliege Bird, R., Smith, E., & Bird, D. (2001) · Behavioral Ecology and Sociobiology · doi:10.1007/s002650100338 · Cited by 372
Self-citationHawkes, K. (1995) · Current Anthropology · doi:10.1086/204420 · Cited by 199
The origins of food production in north China: A different kind of agricultural revolution
Bettinger, R. L., Barton, L., & Morgan, C. (2010) · Evolutionary Anthropology: Issues, News, and Reviews · doi:10.1002/evan.20236 · Cited by 174
Aboriginal Burning Regimes and Hunting Strategies in Australia’s Western Desert
Bird, D. W., Bird, R. B., & Parker, C. H. (2005) · Human Ecology · doi:10.1007/s10745-005-5155-0 · Cited by 169
Self-citationCodding, B. F., Bliege Bird, R., Kauhanen, P. G., & Bird, D. W. (2014) · Human Ecology · doi:10.1007/s10745-014-9682-4 · Cited by 75
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Metadata
- Authors
- Codding, B. F., & Bird, D. W.
- ORCID
- Codding, Brian F.
- Venue
- Journal of Archaeological Science
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 56
- Pages
- 9-20
- ISSN
- 0305-4403
- Cited by
- 156
- References
- 9
- Language
- en
About these checks
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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