Investment in Research and Development for Basmati Rice in Pakistan
Bibliographic record
Abstract
10 Impulse Response Functions for the VAR-X Model for the Value of Basmati Rice Exports from Pakistan BOX Excerpts from the Economic Survey of Pakistan v ABstRACtBasmati rice is Pakistan's celebrated export.After years of growth, Pakistan's production and export of basmati has slipped and is on a downward trend.The absence of a strong research and development institutional structure makes it extremely difficult for the sector to prepare for new challenges.The status of basmati rice as a major export commodity hides the fact that its contribution is below its potential.Without a policy commitment to elevate basmati rice as a strategic product, it will continue to be impacted by changing economic and environmental conditions.Extra funding for basmati can be easily channeled from the levy that is being collected from its export or through government development funds.The bigger challenge is changing the embedded mindset that fails to connect research and development with the production and commercialization of basmati.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".