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Record W2315733427 · doi:10.3406/gaia.2012.1582

Urnes étrusques avec représentation d’Ulysse et les Sirènes

2012· article· en· W2315733427 on OpenAlexaboutno aff

Bibliographic record

VenueGaia revue interdisciplinaire sur la Grèce Archaïque · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeological and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)AdventureQuarter (Canadian coin)HomogeneousHistoryZombieArtHumanitiesArt historyArchaeologyMathematicsComputer science

Abstract

fetched live from OpenAlex

Among the themes figured on the Etruscan urns, the adventure of Ulysses and Sirens holds an important place, particularly in Volterra. Yet only the Sirens are well attested in Greece, and the Odyssean episode is rarely figured. We have to wait until the third quarter of the fourth century BC, to find it represented in Italy, on a Paestan crater (Berlin 4532), and especially on the Hellenistic Etruscan urns which constitute its main medium. The basic scheme of this series (twenty-three urns in Volterra and one in Perugia) seems rather homogeneous. This paper considers whether it deviates from previous representations or whether it seems to be inspired by cartoons that might have circulated throughout the Hellenistic world, whether it is unique or whether it is found in other themes. A careful study of variations in detail within the series enables us to draw conclusions about the presence of different workshops and the evolution of the theme.

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)0.001
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.041
GPT teacher head0.279
Teacher spread0.237 · 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
Published2012
Admission routes1
Has abstractyes

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