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Record W2558737041 · doi:10.15405/epsbs.2016.11.02.8

Impact of Macroeconomic Policy Instruments and External Shock on Unemployment Rate in Malaysia

2016· article· en· W2558737041 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venue˜The œEuropean Proceedings of Social & Behavioural Sciences · 2016
Typearticle
Languageen
FieldDecision Sciences
TopicMultidisciplinary Science and Engineering Research
Canadian institutionsnot available
Fundersnot available
KeywordsUnemploymentEconomicsQuarter (Canadian coin)Shock (circulatory)Inflation (cosmology)Unemployment rateMisery indexMonetary policyOkun's lawInflation rateMonetary economicsOil priceReal gross domestic productMacroeconomicsSupply shock

Abstract

fetched live from OpenAlex

This paper examines the impact of macroeconomic policy instruments and external shock on unemployment rate in Malaysia. Using the quarterly data from 2006(Quarter 1) to 2015 (Quarter 4) the study found that GDP growth, price of oil, broad money supply and average overnight interbank rate have significant and negative impact on unemployment rate in Malaysia. The findings of the study also indicate the existence of Okun’s law which postulates A positive relationship between GDP and unemployment. Policy makers could formulate policies related to the above macroeconomic variable to enhance unemployment reduction. On the other hand, the inflation rate shows a positive effect but is not significant.

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.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.458

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.083
GPT teacher head0.393
Teacher spread0.310 · 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