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Record W6985128408

9789042941243.pdf

2019· other· en· W6985128408 on OpenAlexaboutno aff

Bibliographic record

VenueOAPEN (The OAPEN Foundation) · 2019
Typeother
Languageen
FieldEngineering
TopicHeat Transfer and Numerical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsNumismaticsQuarter (Canadian coin)Period (music)Certainty
DOInot available

Abstract

fetched live from OpenAlex

The coins from the province of Samaria in the Persian Period and the imagery depicted on them are at the centre of this volume. The corpus, normally referred to as Samarian Coinage, presently consists of approximately 250 coin types; the provenience from Samaria can be established with relative certainty for 165 of these types. Silver coins (drachms, obols, hemiobols, and quarter obols) minted between 401 and 332 BCE, they are characterised by a wide iconographic variety. A comprehensive study of the images on these coins promises important insights into the region’s history and culture. The present monograph provides a detailed iconographic analysis on the basis of a critical study of the numismatic material with reference to numerous comparative items. A new approach to dating the coin minting in Samaria results in a better understanding of the coin imagery, as the division into four minting phases enables a closer examination of each coin issuer’s preferences. The meticulous evaluation of the pictorial sources, interpreted against the historical background of the 4th century BCE, sheds new light on Samaria before the dawn of the Hellenistic Period.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.089
Threshold uncertainty score0.127

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.9110.876

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 head0.013
GPT teacher head0.251
Teacher spread0.239 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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