Policy Framework for Space Sector Development: What can Malaysia Learn?
Bibliographic record
Abstract
Malaysia made a good start in its space endeavour, and is currently making gradual progress in the space sector. Since 1996, Malaysia has joined countries who operate their own satellites. Later in 2007, Malaysia made a significance leap by sending the nation’s first astronaut into space. In order to ensure its space sector development is progressing and continues to sustain, a policy framework is needed as a guideline for the government. A policy framework that comprises a set of core principles will act as a backbone for the national space policy. This paper reviews the documents that are related to the national space policy from Canada, Australia and Japan. All of the principles in the policies will be reviewed, and the similarity in these principles will then be highlighted. This paper further proposes several principles for Malaysia to consider as part of its policy framework in space sector development.
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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 | 0.032 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.025 | 0.022 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.015 | 0.016 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".