On the hoof: exploring the supply of animals to the Roman legionary fortress at Caerleon using strontium (87Sr/86Sr) isotope analysis
Bibliographic record
Abstract
Provisioning large concentrations of professional soldiers in Britain after the invasion in AD 43 was a major challenge for the Roman imperial administration. In a distant frontier province such as Britannia , it is generally believed that locally produced agricultural resources must have been vital in feeding and maintaining the occupying army, but direct evidence for this is limited. This study explores the potential for strontium isotope analysis ( 87 Sr/ 86 Sr) of faunal dental enamel to provide new insights for the provisioning of animals to the legionary fortress at Caerleon in South East Wales. Results from 37 domestic animals (cattle, caprines and pigs) from the recent excavation of a military store building in Caerleon are presented. Thirteen faunal dentine and modern plant samples were also analysed to characterise baseline signals for the local landscape. These results indicated an unexpectedly wide range of bioavailable 87 Sr/ 86 Sr in the local area, meaning identifying allochthonous individuals with confidence is difficult. The faunal dataset is also very wide ranging, but at least seven individuals can be identified as originating from beyond the local region, with some likely being brought from a substantial distance away. It is highly likely, however, that this underestimates the proportion of animals reared outside the fortress’ immediate hinterland and individuals that fall within the diverse local range could also have been from further afield. This has implications for understanding how the Roman legion was sustained, as well as the impact that provisioning the army had on the countryside, particularly around military sites.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".