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Record W2313371642 · doi:10.5539/jpl.v9n2p192

Study and Performance of Sepah Bank in International Affairs and Its Impact on the Economy of Iran

2016· article· en· W2313371642 on OpenAlexvenueno aff
Gh. Mirshekari, Hamed Faghihi Taleghani

Bibliographic record

VenueJournal of Politics and Law · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinese financial systemGovernment (linguistics)Monetary reformBank creditFinancial systemBank rateInvestment (military)BusinessEconomyForeign direct investmentEconomicsPolitical scienceMonetary policyInternational tradeCentral bankLawMacroeconomicsPolitics

Abstract

fetched live from OpenAlex

Banking system was born with the establishment of Sepah Bank in 1304. This bank has special role in international trade, financial and economic and monetary relations. Sepah bank by allocating the credit and providing the necessary resources for foreign investment and international trade after the Islamic Revolution in Iran and alignment with government policies has always had a special place in macroeconomic. In 1386 this Bank was sanctioned by America government, and since then it has been consistent with this conditions and when was sanctioned by United Nations as first Iranian bank because of Iran's nuclear program, how to comfort with this status and to fight was placed on the agenda. By establishing a special committee in bank based on the leader directions to resist economy, alternative ways to get out of the existing situation was carried out and Sepah bank was considered as a pattern for next sanctioned bank.

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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