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Record W2746758947 · doi:10.34739/his.2017.06.05

Sassanian stucco decorations from the Ramavand (Barz Qawaleh) excavations in the Lorestan Province of Iran

2017· article· en· W2746758947 on OpenAlexaff
Gholamreza Karamian, Kaveh Farrokh

Bibliographic record

VenueHistoria i Świat · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsArchaeologyMesopotamiaExcavationAncient cityHuman settlementGeographyStructural basinSettlement (finance)Ancient historyGeologyHistoryGeomorphology

Abstract

fetched live from OpenAlex

Barz Qawaleh (also known as Bard Qawela or “Barz-Q” town) is an ancient site located in the vicinity of the village of Ramavand in Iran, in the Kounani region of the Seymareh river basin. The ancient site should be considered as one of the largest and most important Sassanian settlements in Lorestan, Iran. The present paper and accompanying photographs introduce some elements of the stucco decorations discovered at Barz Qawaleh, which constitute remarkable evidence of Sassanian art. Apart from introducing the findings from archeological, this paper offers some interpretations of the motifs and designs represented by the stuccos, some of which may be found also in materials from other Sassanian sites in Iran and Mesopotamia.

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)0.000
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0010.000
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 head0.069
GPT teacher head0.334
Teacher spread0.264 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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