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Record W4414588792 · doi:10.1017/s0068245425100270

<i>CRETICUM OLEUM EXCELLENS</i> ? OLIVE OIL PRODUCTION AND DISTRIBUTION ON ROMAN CRETE

2025· article· en· W4414588792 on OpenAlexaff
Scott Gallimore

Bibliographic record

VenueThe Annual of the British School at Athens · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsOlive oilProduction (economics)Interpretation (philosophy)Distribution (mathematics)AmphoraArchaeological evidenceScale (ratio)

Abstract

fetched live from OpenAlex

Crete’s economy under Roman rule is associated primarily with production and distribution of wine, an interpretation resulting from textual and archaeological data. Several scholars have commented on the potential of oleoculture within the economic structure of Roman Crete, including reference to olive oil as a good for export, but there has been minimal follow up that considers the specific evidence available and its ability to shed light on these practices. This paper critically considers the evidence for oleoculture on Crete during the Roman period and its prospective role in the economic life of the island, including a focus on evidence for olive cultivation and the extent to which this points to surplus production. While there are indications of olive oil production across different parts of Crete, oleoculture may have focused primarily on supporting regional economic needs across the island. Some degree of export likely did occur, perhaps on a small scale and intermittently, but evidence is lacking to develop any interpretation beyond that. Such analysis is important not only for consideration of the Roman economy of Crete but also for addressing questions and concerns around the standard contents of transport amphoras, which remain one of the most important archaeological proxies for studying economic networks and the distribution of different products. Analysis of trade routes and distribution often rely on direct correlations between amphora types and their contents, and this must always be critically assessed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.192
Teacher spread0.183 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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