The Implications of Cold War on Malaysia State Building Process
Bibliographic record
Abstract
The Cold War has affected the communities around the world. Malaysia was no exception in being affected by the turmoil the international world, particularly after the World War 2, due to ideological conflicts. Based on the domino theory, the ups and downs of particular country in terms of its, strong ideology, brings about network impacts to each country in the world. Thus, a freedom of Malaya and the establishment of Malaysia came from the history of Cold War which influenced the international scene. The establishment of Malaysia is seen as a mechanism to stop the influence of communism. The involvement leaders from Malaya, Singapore, Sabah and Sarawak as well as Brunei Darussalam in the agenda to ‘build’ Malaysia with the approval from democratic countries showed a very strong cooperation that communism was a threat. This contributed to the creation of a new and bigger country. The wise Malaysian leaders in negotiating and being united in facing the global threats at that time, has shown that Malaysia’s ‘project’ in stopping the communist theory which is also known domino theory, was successfully carried out and maintained till today. Therefore, Malaysia as a case study, on how a country was ‘built’ on the basis of stopping the spread of communism in saving the Southeast Asia from falling into the hands of communists, is unique and its effectiveness should be studied.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".