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Thasos’ Law on Wine and Vinegar

2018· article· en· W4400414594 on OpenAlexaboutno aff
Marcello Valente

Bibliographic record

VenueAxon · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicClassical Antiquity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOathWineLawQuarter (Canadian coin)Government (linguistics)Value (mathematics)Political scienceHistoryArtPhilosophyArchaeologyMathematicsVisual arts

Abstract

fetched live from OpenAlex

This fragmentary inscription found at Thasos and dated approximately to the second quarter of the 5th century preserves the most ancient law about wine and vinegar trade in the Greek world. Since the inscription is mutilated, the prohibition prescribed in it is unknown, but if someone violated the law his wares were confiscated, whereas a fine worth of a sixth of their value was to be paid to Athena Poliouchos and Apollos Pythios and another fine of the same amount was to be paid to the delator. These measures show the public interest in wine trade in classical Thasos, allowing to compare this inscription to several contemporary documents concerning other rules about wine trade. Among the rules referred to by this inscription, there is one that forbade the use of the oath of non-involvement with the disputed facts, like similar judicial tools attested elsewhere. The Three Hundred in charge of collecting bails paid to bring a case to court was not an arm of an oligarchic government with judicial powers, but more likely a mere judicial body.

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.005
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.038
GPT teacher head0.335
Teacher spread0.297 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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