Hi everyone –
I'm looking at radiocarbon dates run on teeth, and I'd like to incorporate the age of tooth formation into a Bayesian model, following the method in Millard et al. 2020 (which uses tooth ages from AlQahtani et al. 2010). I've found a much more detailed chart that tracks four stages of tooth development (White et al. 2012; image below): 1. beginning of mineralization, 2. crown completion, 3. eruption, and 4. root completion.
The tables in AlQahtani et al. 2010 give ages for clinical emergence and alveolar eruption. The ages are a little different, and I'm not sure how they line up with the four stages of development in White et al. Anyway, since I'm no dental anthropologist, the important question here is:
For a radiocarbon-dated tooth, what age range should I be looking at?
It seems like a uniform span is best here, but Millard et al. opt for an average with a standard deviation.
In the published dates I'm looking at, I don't have details, for example, if they specifically dated the enamel or the roots. Is one part of the tooth more standard when it comes to taking? I have to imagine most people send in an entire tooth to the lab, since they're hard to cut.
Sometimes all I have is "molar" or "pre-molar" – what I want is a reliable range that covers multiple teeth when necessary.
Any ideas on the best age range for dated teeth? Thanks!
Erik
Hi Eric,
I quite like the Millard et al 2020 approach 😉. Putting hard boundaries on the range is difficult for multiple reasons:
The tables in AlQahtani et al use 13 formation stages rather than the four in the White et al diagram, of which only three are formation stages and one is eruption. They are also based on a much larger, modern dataset rather than material that is 50 years old. I’d go with AlQahtani every time.
For dates on a tooth the age of formation of the dentine is important. You don’t care whether the tooth was erupted or not. Dating the carbonate in enamel is unreliable and rarely attempted. If the lab used a collagen extraction they were dating dentine.
If whole teeth were dated then I would take the midpoint of the ages from stages R¼ and R½ as a rough midpoint of the dentine formation, and allow an uncertainty of 10% of age-since-conception, rounded up to a whole year. If you only know the tooth is a premolar, this is not much of a problem as the two premolars have almost parallel development. If you only know it was a molar, this is more problematic as the midpoint ages are 6, 10 and 18 years. Here I might go for a uniform distribution on 4 to 22, as the biggest uncertainty comes which tooth it is and that is uniform across M1, M2 and M3.
As Helene says, secondary dentine may also contribute in older adults. Ours were all under 25 so we didn’t worry about it. Even so it may not have a large effect. If you imagine it accumulates linearly with age and contributes up to 20% of the dentine, then even in a 70-year old the average additional age would be no more than 7 years. For younger individuals, if you are rounding your final 95% HPD ranges outwards to the nearest 5 years, this is almost negligible.
Best wishes
Andrew
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Dr. Andrew Millard
Associate Professor of Archaeology,
Durham University, UK
Email: A.R.M...@durham.ac.uk
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Subject: Re: Formation ages of 14C-dated human teeth
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Hi Eric,
Yes the logic for 4-22 is that this covers both the uncertainty on which tooth and the variability of the teeth. If you are using M1 6±1, M2 10.5±1 and M3 18±2 then 4-22 covers everything in their 2-sigma ranges.
Secondary dentine is harder because I haven’t found any good data on the percentage of the dentine that it constitutes at a particular age, or how variable that is. I’d be tempted to add 5±2 for a 45–55 year-old, as I don’t think it is many 10s of percent. But I’d also try running the model without it as I doubt that the results are very sensitive to what you choose for this.
To view this discussion on the web visit https://groups.google.com/d/msgid/oxcal/ea92cc79-9e3f-450a-a2f5-14455b57a885n%40googlegroups.com.