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Record W4380669481 · doi:10.1086/724595

Multifunctionality and Roman Oven-to-Table Wares: Internal Red-Slip Vessels

2023· article· en· W4380669481 on OpenAlexaff
Laura M. Banducci

Bibliographic record

VenueAmerican Journal of Archaeology · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsCarleton University
Fundersnot available
KeywordsPotteryPetrographyArchaeologyArtRoman EmpireSlip (aerodynamics)Context (archaeology)Visual artsAncient historyGeographyHistoryEngineeringGeologyMineralogy

Abstract

fetched live from OpenAlex

Examining several hundred samples of internal red-slip vessels from the Roman sites of Musarna, Populonia, Cetamura del Chianti, Gabii, and Pompeii, this article presents a study using morphology, use-wear, and ceramic petrography to consider why this ware was produced for such a long period of time (third century BCE until at least the first century CE) and why it was so widespread in the empire. The article looks at this ware in the context of the other pottery types that were popular at the same time and that were visually similar. Considering the aesthetics of glossy red Roman cooking pans engages with the idea of the ceramic service of matching vessels and allows us to fruitfully explore the possibilities for multifunctionality in object use, bringing us closer to the ancient consumer’s experience in the kitchen and at the table. The study includes more than 50 thin sections and presents the first petrographic examination of any pottery from Musarna or Populonia.1

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.024
GPT teacher head0.247
Teacher spread0.223 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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