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Record W7110597818

Analysis and Meaning of the Use of Red Porphyry (Mons Porphyrites) in Roman and late Roman Architecture: The Temple of the Sun in Rome and the Lateran Baptistery

2023· article· en· W7110597818 on OpenAlexfundno aff

Bibliographic record

VenueUniversity of Zagreb University Computing Centre (SRCE) · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsnot available
FundersUniversity of CambridgeUniversity of OxfordYork University
KeywordsEmperorMeaning (existential)Sign (mathematics)TempleAncient RomeRoman Empire
DOInot available

Abstract

fetched live from OpenAlex

Red porphyry, mined from the quarries of Mons Porphyrites (Gebel Dokhan, Egypt), has been a highly valued rock since ancient times for its durability, beauty, and strong symbolic association with imperial power and divinity, especially due to its purple colour. During the late Roman and early Christian periods, its meaning expanded, adding new connotations related to the blood of Christ, the sign of the New Covenant, and to the martyrs. This study examines the use of porphyry in Roman architecture, from the imperial to the late Roman period, identifying some patterns in its use. Likewise, a possible origin is proposed for two of the largest column shafts made with this stone in Rome, and reused in the 5th century AD in the vestibule of the Lateran baptistery. Based on archaeological data and references in ancient sources, its origin is suggested from the Temple of the Sun, erected in Rome by Emperor Aurelian.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.004
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.156
Teacher spread0.142 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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