Understanding Political Psychology and Its Importance to the Malaysian Politics
Bibliographic record
Abstract
This paper intends to describe political psychology and the importance of the subject matter to the Malaysian politics. Political studies in Malaysia are largely based on political science, political sociology and socio-political analysis. It is a high time that political environment and issues in Malaysia to be looked upon from a psychological perspective. It is important because the discipline will allow the understanding of why political leaders think and behave in a certain manner. It will also allow the appreciation of voters’ behaviour. These perspectives will enrich our ability to understand politics from different roots. In the context of Malaysia, studying political psychology will help to enhance the understanding of many variables related to the practice of politics in this country. The interactions between politics and psychology particularly the impact of psychology to politics would be an interesting study. As far as Malaysia is concerned, a deeper understanding on political psychology will help leaders to appreciate the nerves and needs of the people and they should put every effort to fulfil their aspirations. Political psychology should help to unfold the minds of the political actors as well as the voters.
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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 | 0.002 | 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 | 0.003 | 0.008 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".