The second hoard from Strzelce Krajeńskie (2014) – preliminary studies and metal analyses of selected coins
Bibliographic record
Abstract
The second hoard from Strzelce Krajeńskie was discovered in 2014. The assemblage consists of at least 1948 coins. The article presents the interdisciplinary study of 109 of these coins. Apart from all Prague groschen, wittens, hellers and Jagiellonian pennies also 10 Brandenburg and 70 West Pomeranian pennies were loaned for this project by the museum where the assemblage is housed. Care was taken to select the most statistically representative sample possible. Twenty Vinkenaugen from the Szczecin mint were selected – as well as ten pennies minted in Gryfino, Koszalin, Słupsk, Stargard and Kołobrzeg. Additionally, 48 coins were subjected to a metallographic analysis – 18 Prague groschen of Wenceslas IV, two pennies of Vladislaus III, two Mecklenburg and three West Pomeranian wittens, four coins identified as Silesian hellers and 19 West Pomeranian pennies. The results we obtained demonstrate the benefits of collaboration between numismatics and natural sciences. Interdisciplinary research conducted on part of the second hoard from Strzelce Krajeńskie reveals its research potential and value as an archaeological source for the study of monetary history.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".