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Record W2609617495 · doi:10.1111/arcm.12304

Examination and Analysis of Etruscan Wall Paintings at Caere, Italy

2017· article· en· W2609617495 on OpenAlexaff
Barbara Klempan, Kate Helwig, Fabio Colivicchi

Bibliographic record

VenueArchaeometry · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsCanadian Institute for Health InformationQueen's University
FundersAgilent Technologies
KeywordsHematiteFrescoArchaeologyQuartzPaintingGeologyLimeArchaeological scienceFeldsparRecrystallization (geology)ArtMineralogyGeochemistryGeographyVisual artsPaleontology

Abstract

fetched live from OpenAlex

In 1983, the excavation of the ancient city of Caere near Rome, which became a UNESCO World Heritage Site in 2004, led to the unearthing of an underground sanctuary dating from the early third century bc. Known as the ‘Hypogaeum of Clepsina’, it consists of an underground room decorated with frescoes, drawings and inscriptions. The initiation of a new excavation campaign at Caere in 2012 provided the opportunity to study this rare example of Etruscan wall paintings of a non‐sepulchral nature from the Hellenistic era. The paintings were documented, photographed and samples were removed for analysis using a combination of scientific techniques. The observation that at least some of the painting was done on wet plaster supports the conclusion that the frescos are contemporaneous to the plastering of the walls in the hypogaeum in approximately 273 bc. The plaster is lime‐based and aggregate materials include potassium feldspar, clinopyroxene, quartz, hematite and magnetite. No organic binding medium was identified in the paint, suggesting a lime water binder. Paint materials identified are Egyptian blue, red iron oxide (hematite), yellow iron oxide (goethite), charcoal black, quartz, silicates and calcite. All the paint samples show a mineral accretion layer at the upper surface, caused by recrystallization of salts.

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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.004
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.036
GPT teacher head0.246
Teacher spread0.210 · 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

Citations9
Published2017
Admission routes1
Has abstractyes

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