Growth in Malaysia’s Export Food Market: A Shift-Share Analysis
Why this work is in the frame
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Bibliographic record
Abstract
Agriculture sector plays an important role in the Malaysian economy. Malaysia experiences deficit in food balance of trade but some of the agricultural products such as palm oil, fisheries etc. have competitive advantage. This paper aims to examine Malaysia’s export food market growth between 1996 and 2009 using shift-share analysis. Findings show that the major export commodities from Malaysia are animal or vegetable fats and oils and their cleavage products; prepared edible fats; animal or vegetable waxes (HS 15) during the said period. The increasing growth rate of Malaysia’s exports is found in the newly industrialized countries such as China, Iran, India and Ukraine due to their increasing demand for edible oil. However, influences of the trading agreements between these countries also cannot be denied.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it