Age‐at‐Death Estimates from a Disarticulated, Fragmented and Commingled Archaeological Battlefield Assemblage
Bibliographic record
Abstract
Abstract Estimation of age‐at‐death is an important and challenging part of any investigation of human remains. Extensive research has been undertaken on this subject as demographic information contributes much to bioarchaeological and forensic work. Disarticulated, fragmentary and commingled human remains occur from a wide range of spatial and temporal contexts, and estimation of age‐at‐death can be particularly challenging in these collections. This study evaluated the impact of preservation on techniques that might be applied and their relative utility, using human remains from the site of the Smith's Knoll associated with the Battle of Stoney Creek, a War of 1812 collection from Ontario Canada with some supporting documentary evidence on age‐at‐death. Features assessed were the pubic symphysis, auricular surface and epiphyseal fusion in the innominate. An age‐at‐death estimate was produced for 16 out of 19 individuals considered; the highest minimum number of individuals (MNI) was 24 (right radius) from 2701 identifiable fragments. The pubic symphysis made no contribution to construction of a demographic profile, but as has been suggested previously epiphyseal fusion was useful in this respect. Results demonstrate that previous statements regarding preservation of the auricular surface and its utility in fragmented and poorly preserved collections need to be carefully evaluated. Although 129 fragments of innominate were recorded just one had an auricular surface and post auricular area that could be fully assessed. Transition Analysis was easier to apply than techniques developed previously, and findings from this study suggest that use of the forensic prior distribution could assist in assessment of battlefield assemblages. These results raise some valuable points that need to be considered in any future attempts to improve age‐at‐death estimates using the auricular surface, and important questions regarding expectations for estimation of age‐at‐death in disarticulated, fragmented and commingled collections of human bone. Copyright © 2015 John Wiley & Sons, Ltd.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".