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Record W4406035680 · doi:10.54254/2754-1169/2024.19269

Analysis of Malaysia’s Economic Relations

2025· article· en· W4406035680 on OpenAlexaff
X J Fang

Bibliographic record

VenueAdvances in Economics Management and Political Sciences · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEconomicsReal gross domestic productGross domestic productInflation (cosmology)UnemploymentMisery indexPhillips curveMacroeconomicsUnemployment rateEconomic expansionInflation rateMonetary economicsMonetary policyInterest rate

Abstract

fetched live from OpenAlex

The paper examines the economic relations in Malaysia over the past 25 years, focusing on the relationship between real Gross Domestic Product (GDP) and inflation rate change, as well as the relationship between real GDP growth rate and unemployment rate change. Using data from the World Bank from 1998 to 2022, the study employs Phillips curve analysis to understand the impact of the output gap on inflation and Okun’s law analysis to explore the connection between economic growth and unemployment. The findings reveal a weak correlation between real GDP growth and inflation rate change in Malaysia, suggesting the need to consider additional factors such as money supply and international market dynamics in economic analysis. Nevertheless, there is a strong negative correlation between the growth rate of real GDP and the change in the unemployment rate, suggesting that an increase in economic activity leads to a decrease in the unemployment rate. These insights can inform policymakers in Malaysia in formulating effective economic policies to maintain stable growth and employment rates.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.251
Teacher spread0.244 · 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
Published2025
Admission routes1
Has abstractyes

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