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Record W4412173834 · doi:10.1515/etst-2025-0011

The 2024 Field Season at Caere, Vigna Marini Vitalini: A New Etruscan Temple and Its Surroundings

2025· article· en· W4412173834 on OpenAlexafffund
Fabio Colivicchi, Adriana Dantas Gonzaga de Freitas, Sarah Karelsen, Helen Miller

Bibliographic record

VenueEtruscan and Italic Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Mediterranean Archaeology and History
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsTempleVignaArchaeologyAncient historyGeographyArtHistoryAgronomyBiology

Abstract

fetched live from OpenAlex

The field known as the Vigna Marini Vitalini holds a special place in the archaeology of the city of Caere, beginning in the late 19th century, when a massive number of architectural terracottas were discovered there and eventually found their way to European and North American museums. In the summer of 2024, the Queen's University team opened a new trench in the area where the 19th-century excavations had taken place. The foundations of a temple came to light, along with a building with at least three rooms parallel to its southwest side. Based on the finds from the associated layers and a deposit of architectural terracottas, the temple can be dated to the early fifth century BCE. When the monumental structure was built, however, the area already had a long prior history. The Etruscan builders dug the foundation trenches into a beaten earth pavement that extends over a large area, suggesting that this had previously been an open space. The floor covers a filled quarry and traces of even earlier wooden structures. This new evidence shows that the history of this area was by no means a linear and planned development, and that there were multiple changes of destination and transformations of the urban landscape.

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 score0.393
Threshold uncertainty score0.999

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 studies0.0020.001
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 head0.059
GPT teacher head0.291
Teacher spread0.233 · 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 routes2
Has abstractyes

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