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Record W4205611264 · doi:10.51277/keb.v16i2.102

PENGARUH PDB, INFLASI, KURS DAN TINGKAT SUKU BUNGA TERHADAP NERACA PERDAGANGAN INDONESIA

2021· article· en· W4205611264 on OpenAlexaff
Ilham Tri Murdo, Junaidi Affan

Bibliographic record

VenueKajian Ekonomi dan Bisnis · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsEconomicsBalance of tradeExchange rateMonetary economicsInflation (cosmology)Balance (ability)Interest rateInternational economicsBiology

Abstract

fetched live from OpenAlex

Abstract
 
 This study is to determine the extent to which the independent variable factors (GDP, Inflation, Exchange and Interest Rates) affect the dependent variable (Trade Balance) in the last 20 years. Quantitative research aims to obtain empirical evidence regarding the effect of the variables of GDP, Inflation, Exchange Rates and Interest Rates on the Trade Balance, and also to test hypotheses to strengthen or even reject the hypothesis. With the following results: GDP has a negative and insignificant effect on the Trade Balance, Inflation has a negative and significant effect on the Trade Balance, the Exchange Rate has no and no significant effect on the Trade Balance, Interest Rates have no and no significant effect on the Trade Balance and GDP, INflation , Exchange and Interest Rates together (simultaneously) have a significant and significant effect on the Trade Balance

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.209
Teacher spread0.183 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

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