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Record W4387601896 · doi:10.46651/mar.2023.2

A forgotten Roman marble base in the National Museum of Archaeology

2023· article· en· W4387601896 on OpenAlexaff
Roger Wilson

Bibliographic record

VenueMalta Archaeological Review · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDepictionSculptureContext (archaeology)ArchaeologyAncient historyCreaturesPeriod (music)ArtMalteseFront (military)HistoryGeographyVisual artsPhilosophyNatural (archaeology)Aesthetics

Abstract

fetched live from OpenAlex

A badly damaged Roman marble base now in Valletta, Malta, was first published in 1647 and then in 1787. It has been neglected since, mainly because there have been doubts about whether or not it is a genuine antiquity. This study argues for its authenticity, and contextualizes the relief sculpture that decorates three of its sides. The front carries a depiction of Sicilia, the personification of the Roman province of Sicily to which the Maltese Islands belonged. The image is set in context within the small group of known personifications of Sicilia elsewhere. Identical side panels each show a man with what is interpreted here as a turtle balanced on his knee, an apparently unique depiction of these creatures in Roman sculpture. It is suggested that turtles, now scarce in the Mediterranean, were once plentiful in the waters off both Malta and Sicily. In a secondary period, perhaps in the late eighteenth century, the base was badly mutilated during its conversion for use as a fountain. Whether it ever functioned as such is uncertain.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.047
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.002

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 head0.091
GPT teacher head0.298
Teacher spread0.207 · 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 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
Published2023
Admission routes1
Has abstractyes

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