Malaysia Economic Monitor, June 2017 : Data for Development
Bibliographic record
Abstract
Malaysia’s economic growth expanded \n strongly in first quarter (1Q) 2017. Gross domestic product \n (GDP) growth rate for 2017 is expected to accelerate to 4.9 \n percent, slightly above the government’s current projection \n range of 4.3 to 4.8 percent. The current account surplus has \n declined (1Q 2017: 1.6 percent of GDP; 4Q 2016: 3.8 percent \n of GDP) due to strong import growth. Gross imports growth, \n mainly of capital and intermediate goods, outpaced the \n significant increase in gross exports, resulting in a lower \n goods surplus. The current account surplus is projected to \n narrow further to 1.6 percent of GDP in 2017. Monetary \n policy is expected to remain accommodative and supportive \n for growth. The higher growth trajectory projected for 2017 \n opens up room to accelerate reduction in the fiscal deficit. \n Risks to the economy in the short-term stem mainly from \n external developments. Focus on implementing further \n structural reforms to raise the level of potential growth \n should continue. This include looking into measures to raise \n the level of productivity, encourage innovation, invest in \n new skills, leverage digital technologies, and continue \n ongoing efforts to improve efficiency of public service delivery.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.012 | 0.008 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.021 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".