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Record W4206690629 · doi:10.31219/osf.io/t8xqs

KEBIJAKAN MONETER DALAM PERSPEKTIF EKONOMI ISLAM

2021· preprint· en· W4206690629 on OpenAlexaff
Ray Dwiki Syahputra

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMonetary policyEconomicsIslamPerspective (graphical)Value (mathematics)Order (exchange)Economic stabilityMonetary economicsMacroeconomicsFinanceGeography

Abstract

fetched live from OpenAlex

The development of the rate of economic growth in a region can be said to be the economic growth that is formed through various types of economic sectors that occur indirectly which describes the occurrence of levels of economic growth. in order to achieve high but stable economic growth, monetary policy is needed. The objective of monetary policy is to achieve and maintain the stability of the rupiah value. This objective is as stated in Law no. 23 of 1999 concerning Bank Indonesia, as amended by Law no. 3 of 2004 and Law no. 6 of 2009 in article 7. The purpose of this journal is to know monetary policy from an Islamic perspective. This is interesting to discuss because there are fundamental differences between modern monetary policy and monetary policy in an Islamic economic perspective

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.048
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0480.015

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 head0.036
GPT teacher head0.326
Teacher spread0.291 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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