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Record W1561580654 · doi:10.1111/1095-9270.12110

A Late Antique Ceramic Assemblage at Burgaz, Datça Peninsula, South-west Turkey, and the ‘Normality of the Mixed Cargo’ in the Ancient Mediterranean

2015· article· en· W1561580654 on OpenAlexafffund
Justin Leidwanger, Elizabeth S. Greene, Numan Tuna

Bibliographic record

VenueThe International Journal of Nautical Archaeology · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicMaritime and Coastal Archaeology
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of CanadaLoeb Classical Library FoundationCanada Foundation for InnovationHonor Frost Foundation
KeywordsAmphoraGeographyArchaeologyHumanitiesAncient historyArtHistory

Abstract

fetched live from OpenAlex

By combining underwater survey with formal and compositional study of ceramics, recent work at Burgaz (south-west Turkey) reveals a late 6th- or 7th-century assemblage of wine and perhaps other agricultural products carried in LR1 and LR2-related amphoras. Representing various south-east Aegean and likely Cilician producers, the mixed cargo aboard this probable shipwreck offers insights into the complex dynamics of seaborne distribution at the end of Antiquity. This brief study also underscores the need for documentation in underwater survey of amphora forms and fabrics, particularly those from a period characterized by intensified and diversified production of supra-regional ceramic types.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.257
Teacher spread0.218 · 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

Citations17
Published2015
Admission routes2
Has abstractyes

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