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Record W3108272800 · doi:10.37095/gephyra.817742

Two Reused "Blattkelch" Capitals from Patara. An Example of Reuse in the 2nd Century AD in the Context of the Building Activities in and around the Nero Bath

2020· article· en· W3108272800 on OpenAlexaff
Mustafa Koçak, Feyzullah Şahin

Bibliographic record

VenueGephyra · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsNickel Institute
Fundersnot available
KeywordsReusePeriod (music)Interpretation (philosophy)Meaning (existential)Context (archaeology)PhenomenonHistoryArtArchaeologyEngineeringAestheticsEpistemologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

During the excavations of the last few years in the so-called Nero bath in Patara, two Blattkelch capitals were found, which gave reasons to the following article. These two capitals were created in the early Roman Imperial Period, although they were not used in the bath until the 2nd century AD. They, and another six that have now disappeared, crowned columns of breccia marble in the frigidarium of the bath mentioned above, which was added around the middle of the 2nd century AD. It was therefore clear to us that this was a practice of reuse in the Roman Imperial Period. This phenomenon, the reuse of architectural elements in that time, has been little studied so far, in contrast to late antiquity and later periods. Although it was relatively easy to determine the reuse in this case of Patara, it is hardly possible to make any statements about the interpretation of its meaning. In this respect, it can only be hoped that more research will increase in the future. The following essay should serve as a contribution to such research.

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 score0.006
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.009
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.063
GPT teacher head0.242
Teacher spread0.179 · 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
Published2020
Admission routes1
Has abstractyes

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