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Record W4362673816 · doi:10.23858/sa/74.2022.2.3090

The second hoard from Strzelce Krajeńskie (2014) – preliminary studies and metal analyses of selected coins

2022· article· en· W4362673816 on OpenAlexaboutno aff
Beata Miazga, Paweł Milejski

Bibliographic record

VenueSprawozdania Archeologiczne · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
FundersUniwersytet WrocławskiNarodowym Centrum Nauki
KeywordsHoardAssemblage (archaeology)NumismaticsArchaeologyQuarter (Canadian coin)Geography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.092
GPT teacher head0.289
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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