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Record W3018919552 · doi:10.34739/his.2018.07.03

Graves, Crypts and Parthian Weapons excavated from the Gravesites of Vestemin

2018· article· en· W3018919552 on OpenAlexaff
Gholamreza Karamian, Kaveh Farrokh, Mohammad Fallah Kiapi, Hossein Nemati LOJANDI

Bibliographic record

VenueHistoria i Świat · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsLangara College
Fundersnot available
KeywordsFortress (chess)Ancient historyExcavationHistoryArchaeologyMilitary intelligenceArtClassics

Abstract

fetched live from OpenAlex

The article describes a series of finds of Parthian military items in the graves and crypts of Vestemin in northern Iran. These findings are especially significant as they provide an array of discoveries of military equipment: swords, daggers, spearheads, arrowheads, armor and a possible helmet. This study obliges a revision of Winkelman’s observation that “few finds of weapons have been made inside Iran” with respect to Parthian military equipment. In an overall sense, these findings may prove to be as significant to the domain of Parthian military studies as the well-known site of Dura Europos. The excavations have also discovered a coin of Philip the Arab or his son from the early Sasanian era which has assisted the authors’ dating of the Vestemin site. The site of Vestemin is not exclusively a burial venue as the site also has defense works as well as a fortress dated the later Parthian era c. 1st century BCE to 3rd century CE).

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
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 head0.026
GPT teacher head0.278
Teacher spread0.252 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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