Cobble Stone Mining Tools - Evidence of Their Use in the Bronze Age Mines of Britain and in Current Archaeological Experiments Investigating Ancient Mining and the Processing of Metal Ores
Bibliographic record
Abstract
The characteristic artefacts of Early Bronze Age metal ore mining are cobble stone mining tools. The current study suggests that within these tool assemblages it is normal to see some sort of use specialisation and opportunistic re-use of broken tools, whilst the wear pattern and modification to these suggests the creation of ad hoc tool kits, and the use of both hand-held and hafted hammers. At some of the sites more than 90 % of cobbles used show only minor evidence for purposeful modification (such as a pecked groove designed for hafting), yet extensive experimentation has demonstrated that many of these tools could have been, and probably were used with handles. Some sort of discrimination in the collection of cobbles at source is suggested by the evidence for consistency in size, shape, weight and lithology of the stones. In West Wales we find suitable cobbles brought up to 25 km inland from the storm beaches on the coast to be used at these upland sites. Experimental archaeology has been successful in predicting the types of tools to be found during the archaeological excavation of sites; this includes the use of antler picks and bone scrapers and chisels which often don’t survive within acidic mining environments. As regards stone tools, experiments have also shown how the most rudimentary artefacts might be used in the processing and concentration of metal ores, including those of copper and gold. The current paper presents a body of archaeological evidence and experimental research, which is likely to be universally relevant to the study of some of the most ancient mines and mining areas in Europe.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".