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Record W2187110343

The Reasons for Drawing Attention to Western Iran (Kermanshah Province) During the Second Half of Sassanian Era

2013· article· en· W2187110343 on OpenAlexaboutno aff
Glareh Amiri

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsnot available
Fundersnot available
KeywordsFoothillsMesopotamiaPlateau (mathematics)GeographyAncient historyPeriod (music)Independence (probability theory)Quarter (Canadian coin)HistoryArchaeologyCartography
DOInot available

Abstract

fetched live from OpenAlex

Historically, Iran plateau has nurtured different cultures and due to its natural and geographical characteristics, has linked east cultures to Mesopotamia, so that the civilizations related to this plateau have served considerably humanity for a period of 1000 years. Among these cultures, the ones related to the western part of Iran plateau would play significant roles. Zagros foothills which have stretched from northern to the southern west are replete with green and affluent valleys with a distinguished position for the establishment of various cultures since ancient times. Kermanshah as a region located in such western parts draw the attention of Sassanid kings at the last years of fourth century (AD) (the second half of Sasanian kingdom), and Fars province became secondary to Sassanid s. Kermanshah in this period was a part of Mai or Mad located in Koust Khourbaran area, and later this region was called Kermanshah covering lands from Nahavand to Ctesiphon.There are several reasons to Sassanid kings attention in the second half of the Sassanid era to the western parts of Iran including military factors, religious beliefs, good weather, the existence of Khorasan wide road (Silk Road), tendency to gaining independence from religious centers and also commercial and economic factors. This paper, using historical documents and data and applying historical research techniques, attempts to investigate the geographical and political situation of the central Zagros region and the reasons for Sassanid kings attention to this region.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.861

Codex and Gemma teacher scores by category

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

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 head0.020
GPT teacher head0.282
Teacher spread0.263 · 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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

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