Marginal Value of Irrigation Water Use in the South Saskatchewan River Basin, Canada
Bibliographic record
Abstract
The allocation of water is part of water management. In order to achieve maximum benefits to society, water should be allocated toward uses that have the highest value, followed, as an alternative, by the next highest level or one with equal value. Such decisions require knowledge of water value at the last unit of use. Within agriculture, irrigation is important. Irrigation water must be allocated to various crops; therefore, producers require knowledge of the marginal value of water among alternative crops. This study estimates marginal value product for irrigation water within the southern areas of the Canadian Prairie Provinces using a crop-response model. Marginal values were estimated under the present and a future climate scenario. Cash crops such as potatoes and dry beans had higher marginal values of water, around $1,000 per 1,000 m3. Cereals and oilseed crops lagged behind (close to $200 per 1,000 m3). Results show modest increases in marginal value under climate change, compared to the volatility resulting from commodity market price changes seen today.
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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".