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Record W2885850672 · doi:10.1515/nl-2017-0002

Notes to the role of the so-called imitative coins at the beginning of the Bohemian (and Moravian) coinage of the 10th century

2017· article· en· W2885850672 on OpenAlexaboutno aff
Jan Videman

Bibliographic record

VenueNumismatické listy · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Archaeological Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCopyingDuchyQuarter (Canadian coin)Ancient historyPeriod (music)HistoryHoardClassicsArchaeologyArtLawPolitical science

Abstract

fetched live from OpenAlex

Abstract The article is focused on problems with the so-called imitative coins, i.e. deniers copying the Bavarian and Bohemian prototypes which are documented in hoards together with official issues. In the case of the earliest phase of production of the first Bohemian coins – dating to the third quarter of the 10th century – also the so-called imitative pieces with corruptive marginal legends are registered in the contemporary hoards together with the official coins bearing the name of the duke and the mint. The author brings an actualized list of these coins produced in that period and found locally. The pieces made of worse-quality metal – mostly with plated copper core – dominate among the newly documented specimens predominantly coming from important hillforts or trade centers. Based on the map of the finds and on the variability of their fabric, at least a significant part of these coins were evidently mostly produced outside of the center of the Duchy of Bohemia (Prague). Local origin can be considered also in the case of the Moravian pieces.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.016
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.221
Teacher spread0.197 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2017
Admission routes1
Has abstractyes

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