AN INVESTIGATION INTO DIET AT THE SITE OF YARNTON, OXFORDSHIRE, USING STABLE CARBON AND NITROGEN ISOTOPES
Bibliographic record
Abstract
Summary This paper reports the results of stable isotopic analyses conducted upon animal and human bones recovered from Yarnton, Oxfordshire. Spanning the Neolithic to Saxon periods, it is in many ways a typical site, but is unusual in that a small Middle Iron Age cemetery was discovered. All of the data presented here lie within the expected isotopic ranges for the European Holocene, although both faunal and animal δ15N values are higher than is commonly found. The faunal data show the expected pattern for the animals studied (horse, cattle, sheep/goat, pig and dog), with pigs being more omnivorous than ruminants, and dogs eating an isotopically similar diet to humans. The animals' diets had higher δ15N values during the Roman period as compared to the Iron Age, although it is unclear if this reflects an environmental change or alteration in animal management practices. Despite the site's riverine location, there is no isotopic evidence for fish consumption. No distinctions were found based on gender or burial position within the Iron Age cemetery. Age‐based distinctions were found in δ13C values, although these cannot be fully explained. As expected, infants have a higher nitrogen isotopic value than other individuals, reflecting the consumption of their mother's milk.
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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 | 0.001 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".