Changing to more efficient irrigation technologies in southern Alberta (Canada): an empirical analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Results from an irrigator survey in southern Alberta (Canada) indicate that more than half of irrigators changed irrigation technologies during the five-year period (crop years 2007/08–2011/12) and this potentially improved application efficiency. Changes were made from flood irrigation to wheel-move sprinklers to high- and then low-pressure pivot systems. The intended future rate of change is lower than that experienced over the previous five years. Important factors causing these changes were identified: reducing irrigation application, labour and energy inputs, and increasing crop yields and quality. Econometric modelling shows that irrigators who have commenced the process of adopting more efficient sprinklers are full-time farmers, operate their farm as corporations or partnerships, obtain information from extension agencies, and are more likely to upgrade their technologies in future.
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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 it