Le Catillon II: conserving the world’s largest Iron Age hoard
Bibliographic record
Abstract
AbstractIn early 2012, two amateur metal detectorists in the British Channel Isle of Jersey discovered the Le Catillon II Iron Age hoard. This contained over sixty-nine thousand coins, eight complete gold torques and numerous other pieces of jewellery. The hoard appears to have been buried around 30-40BCE by the Coriosolitae tribe from the nearby French coast and is the largest Celtic hoard ever discovered. It was excavated intact and transferred to a conservation laboratory on the island. Here it was decided to disassemble the hoard and record its contents at a level of detail never attempted before. A computer controlled six axis metrology arm with a contact probe point head was used to record the position of every coin and other item to a sub centimetre accuracy before removal. A laser scanner was also used to record the entire hoard at various stages of disassembly. In this way, a complete three-dimensional virtual map of the hoard contents was created. Work is now being done to link this map to the object database so that it may be interrogated for distributions of different ages, types, makers of coins etc.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
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".