Impact of infrastructure and public investment on development of livestock sector in Jammu & Kashmir-India
Bibliographic record
Abstract
Considering the crucial role of institutional support in the livestock growth, an attempt was made to analyze the development of livestock sector in relationship with public investment in livestock sector and selected infrastructure variables in J&K. Livestock sector has shown a significant growth and has increasingly contributed to the state gross domestic product over the years. Government has been pro-active with towards the development of livestock sector with various schemes; however, the public investment has experienced a deceleration and its intensity has reduced over the years. The stock of animal health institutions has increased though their density has remained almost stagnant. Livestock productivity model was development to quantify the impact of public sector investment, infrastructure and other variables on livestock productivity. The estimates of the model revealed that public investment in livestock sector and infrastructure variables including animal health infrastructure have significant contribution in the growth of livestock productivity. The study concluded with an emphasized upon the creation of necessary infrastructure and the reversal of the declining trend of investment to this sector among other policy options suggested for the sustained growthof livestock inthe territory.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".