Malaysia–US Bilateral Relations in the Aftermath of the 2008 Global Financial Crisis
Bibliographic record
Abstract
Malaysia–United States relations are enormously significant. From the perspective of the US Department of State, Malaysia is a significant player at both the regional and international levels. The world financial crisis that began in the US at the end of 2007 moderately affected the Malaysian economy. While the US was at the center of the crisis, Malaysia felt its effects as one of Asia's export-reliant economies. Regarding the implications of the crisis, some tangible evidence has been evaluated. The fourth quarter of 2008 was devastating for the world's advanced economies, including the US, and Malaysia's external trade-related sectors were severely struck. The primary reason for this visible effect was a disruption in the trade demand. Against this background, this paper examines the aftermath of the world financial crisis on the relations between Kuala Lumpur and Washington, particularly on the political and economic bilateral ties.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".