Comparative Economics Of Users and Nonusers Of Dharabi Dam Pakistan
Bibliographic record
Abstract
Water is a limiting factor for sustainable agriculture in Barani(Arid). However, rainfall is the only source of water the spatial and temporal variation of which is very high. Therefore conservation and management of this source is vital for agriculture development and socio-economic uplift of the area. This study was, mainly, also devised to address land distribution problems and consequent farm productivity in the study area. The farmers were divided into two main categories irrigated and rainfed farmers. The performance of most of the indicators i.e. yield, gross margins, farm income, labour productivity, income distribution, cropping intensity and crop diversity was found better in irrigated as compared to rainfed. While marginal factor productivity, irrigation productivity and rate of institutional credit availability was higher in irrigated area. However, rainfed area was always least efficient with respect to all of the quantified indicators. The findings of the research are helpful for the farmers of the study area in decision making among different farm enterprises. Hence it can alleviate poverty and help to bring food security in the deprived regions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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".