2021
DOI: 10.1002/oa.2962
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Investigating infant feeding strategies at Roman Bainesse through Bayesian modelling of incremental dentine isotopic data

Abstract: We present the first study employing Bayesian modelling of isotopic measurements on dentine increments (five human upper first molars) to address Romano‐British infant feeding practices at Bainesse (UK). The stable carbon and nitrogen isotope results modelled to 6‐month intervals with novel OsteoBioR software revealed some common patterns, with weaning not starting before the age of 6 months and higher animal protein consumption after the age of seven. The latter possibly indicated a ‘survival’ threshold, evid… Show more

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Cited by 24 publications
(22 citation statements)
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“…We implemented an R-based toolkit to access online data records using a Shiny app interface ( https://isomemoapp.com/ ) 80 , 81 . In addition, the app includes interactive dashboards for data modeling employing previously published Bayesian and non-Bayesian methods 59 61 , 82 , 83 . Further details on modeling methods employed in examples below are given in Supplementary Information File S4 and S5 .…”
Section: Usage Notesmentioning
confidence: 99%
“…We implemented an R-based toolkit to access online data records using a Shiny app interface ( https://isomemoapp.com/ ) 80 , 81 . In addition, the app includes interactive dashboards for data modeling employing previously published Bayesian and non-Bayesian methods 59 61 , 82 , 83 . Further details on modeling methods employed in examples below are given in Supplementary Information File S4 and S5 .…”
Section: Usage Notesmentioning
confidence: 99%
“…In addition, sample typology and position affects the incremental age assignation, due to different formation periods, and imprecise tooth determinations in either sampling or publication can be another potential constraint. This limits to an extent the research potential although recent modelling developments allow for a larger inter-comparability of dietary histories obtained from isotopic results obtained through different sectioning methods [4].…”
Section: Constraintsmentioning
confidence: 99%
“…Given that each tooth can be set in a formation period interval, the combination of different teeth such as the three permanent molars potentially allow the reconstruction of dietary inputs from birth to early adulthood. Some limitations still exist as concerning the age assignation of increments and alignment of different teeth, but new modelling techniques are being employed to address such issues [4,11]. Our dataset can be used to carry out meta-analyses that compare children feeding practices across time and space and within varied cultural contexts.…”
Section: (4) Reuse Potentialmentioning
confidence: 99%
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“…This includes, among others, Bayesian spatio-temporal modelling of isotopic data, the tracking of human or animal spatial mobility, and dietary reconstruction (Fernandes et al 2014;Cubas et al 2020;Wilkin et al 2020;Cocozza et al 2021;Wang et al 2021). We present here illustrative case studies to present the research potential offered by Pandora & IsoMemo modelling capabilities on CIMA data.…”
Section: Bayesian Modellingmentioning
confidence: 99%