Bibliographic record
Abstract
The main purpose of this research is to examine the determinant factors of inflation in Malaysia. The relationship between macroeconomic factors namely money supply, unemployment rate, exchange rate, gross domestic product and oil price with inflation are studied. This research study covers quarterly data for the time period for the period of first quarter 2007 to fourth quarter 2014. The time series data for the entire dependent and independent variables are to be non-stationary at the level but stationary at first difference. The results show both long-run and short-run relationships between money supply, unemployment rate, exchange rate, gross domestic product and oil price with inflation. The study employs Multiple Linear Regression Method to analyze the relationship between independent and dependent variable. The time series data are collect by quarterly basis from the data stream which is the main source to obtain the quantitative data. The scope of study is based on the macroeconomic factors in Malaysia which the study will be focus on the influence of these factors towards inflation in Malaysia. In this research, the expected result is the independent variables will have significant and insignificant relationship with the inflation in Malaysia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".