Bulk Handling of Paddy and Rice in Malaysia: an Economic Analysis
Bibliographic record
Abstract
ACIAR has supported a number of projects on the postharvest handling of grains in Southeast Asia.The economics-orientated project on which this report is based was formulated in recognition of the idea that new technology will only be developed and adopted where appropriate economic incentives exist.The results showed that, in fact, such incentives are lacking in the postharvest rice sector of Malaysia.Changing policies which affect these will be a prerequisite to improved technology adoption in the postharvest sector in Malaysia, particularly with respect to grain drying.Suggestions regarding the appropriate level and type of incentives are included.A full bulk-handling system was shown to be less desirable economically than a semi-bulk system under current conditions.Paddy and final product pricing policies were found to have a critical impact on the economic feasibility of the introduction of bulk-handling equipment.The collaboration between the various institutions involved in the project was excellent.This collaboration included not only socioeconomic, but also technical aspects.Since the project concluded, there have been substantive discussions in Malaysia on the results.The policy recommendations stemming from the project are receiving consideration by the Malaysian authorities, and are in the process of being implemented.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".