Flavours of Pictish life: using starch grains and phytoliths to trace late Roman and early medieval culinary traditions
Bibliographic record
Abstract
• Microbotanical residues may shed light on ancient foodways and culinary traditions. • Starch grains and phytoliths can be used to understand function of pots. • Food residues from Pictish pot sherds confirm cereals were common plant ingredients. Understanding the seasonal and daily aspects of late Roman and early medieval life in northern Britain has been hugely challenging due to a dearth of excavated sites and poor preservation of settlement features where identified. This problem has been compounded by a very limited historical record for this era and region. But a new generation of archaeological data has begun to illuminate the Picts, a group first mentioned in late Roman sources and one that went on to become the dominant kingdom of early medieval northern Britain. These new datasets include innovative microbotanical analyses that can shed light on Pictish foodways, including culinary traditions, and specific plant foods consumed. This study employs non-destructive microbotanical analysis of pot sherds from Pictish settlement contexts and human teeth from Pictish burials, examining the presence of starch grains and phytoliths from six prominent sites spanning the Pictish period (AD∼300 – 900). Our research confirms that cereals such as oats and barley were the primary plants cultivated, cooked, and consumed in northeast Scotland during the late Roman Iron Age and early medieval period. These microbotanical residues add detailed evidence to previous studies of isotopic, pollen, and trace macrobotanical proxies, but also offer fresh insights into the potential composition of specific Pictish meal types. The approaches outlined here have greatly expanded and enriched our understanding of the dietary habits and lifestyle of the Picts, an important, but under-researched group.
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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 | 0.001 | 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".