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Record W2148881904 · doi:10.5539/ach.v5n2p158

Introducing Bayani Kermani and the Manuscripts of His Monsha’at

2013· article· en· W2148881904 on OpenAlexvenueno aff
Asraossadat Ahmadi, Hossein Aghahosseini, Seyyed Aliasghar Mirbagherifard

Bibliographic record

VenueAsian Culture and History · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
FundersHaute école Spécialisée de Suisse Occidentale
KeywordsPersianPoliticsState (computer science)EmpireOrder (exchange)Period (music)HistoryCultural heritageClassicsLawSociologyLiteratureAestheticsAncient historyPolitical scienceArtPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Reviving the works of Persian Empire’s writers and grandees, both in terms of the newly discovered points in books and discourses and also including indications of their era’s social, political and cultural state, is highly essential and valuable; so much so that if no efforts are made on their correction and restoration, a vast part of this extremely rich cultural heritage will be buried among the manuscripts. It is incumbent on the scientific community to take steps, however brief, in order to stimulate such precious works which in turn represent a cultural legacy.One of these works is Bayani Kermani’s Monsha’at, dated back to Iran’s Timurid and early Safavid period. Since he was a Timurid court clerk later becoming the Chancellor and has mentioned many important literary and political figures in his work, the correction of this book greatly contributes to the recognition the individuals and understanding the social culture and customs of the Timurid era.This paper briefly introduces Bayani, his works, and the remaining manuscripts of Monsha’at, hoping for it to be of some benefit.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.762
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.011
GPT teacher head0.207
Teacher spread0.196 · 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 designNot applicable
Domainnot available
GenreOther

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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