Irrigation Development as an Instrument for Economic Growth in Saskatchewan: An Economic Impact Analysis
Bibliographic record
Abstract
Allocation decisions in Saskatchewan of water are needed because of the limited nature of the resource in the province.Timely allocation of water can impact crop production, and through that economic development in the province, which may result through the value of the improved crop production as well as the economic linkages within the economy.Irrigation can be seen as a tool for economic growth as it decreases the reliance on natural factors which are critical for crop production in the province.The provincial government has committed, among its various agricultural initiatives, to develop tools to reach economic development goals.A study of the economic importance of irrigation in Saskatchewan is important to understand its contribution provincially and regionally as a possible tool for this economic development.The economic impacts of irrigation extend beyond farm-level impacts and understanding how it contributes to the entire economy at a provincial and regional level is information needed by decision makers.The purpose of this study is to provide the contributions of the irrigation sector on the provincial and regional economy.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".