Bibliographic record
Abstract
Pits and Boots derives from excavations carried out in 2007-8, in advance of an extension to the Bon Accord Centre in Aberdeen, that uncovered the backlands of an area that would have formed part of the industrial quarter of the medieval town. The site is well-dated by dendrochronology, augmented by artefactual evidence, and indicates activity from the late 12th century AD into the early modern period, with a particularly intensive period in the 13th century. Structural evidence consists primarily of the backland boundaries, hearth/ovens, several wood-lined wells and many large pits. It is the contents of these pits and wells which forms the core of this monograph. The waterlogged conditions within the pits and wells has meant that a remarkable assemblage of organic remains including leather, wooden artefacts, textiles, animal pelts, fibres, and cordage has survived. The leather assemblage is the largest ever to be found in Scotland and has revealed a range of activities associated with the use of animal hides, from hide processing to tanning and shoemaking. The wood assemblage is also extensive and includes bowls, platters, coopered vessels and tools. Metalwork, crucibles, clay mould fragments and ceramics all testify to the industrial nature of the area, while the large quantities of animal and fishbone demonstrate that butchery on an industrial scale took place in the area. The excavation charts the changing nature of this once-peripheral area of Aberdeen, from an industrial zone in the medieval period, to horticultural and domestic spaces in post-medieval times, and has thus greatly enhanced our knowledge of Scottish urban development.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.100 | 0.028 |
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".