The Economics of Beneficial Management Practices Adoption on Representative Alberta Crop Farms
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
Monte Carlo simulation was used to examine the on-farm economics from adoption of Beneficial Management Practices (BMPs) on five representative Alberta cropping farms. Adoption of shelterbelts, buffer strips, residue management, and the addition of annual and perennial forages, field peas, and oats in crop rotations were included as BMPs that contribute positively to Ecological Goods and Service production from agriculture. Results suggest positive on-farm benefits associated with perennial forage and field pea BMPs. Conversely, BMPs that reduce availability of land for cropping activities, such as shelterbelts and buffer strips, and BMPs that do not increase revenues, such as oats and annual forages in rotation, are costly to producers. The results of this thesis have important policy implications. Policy mechanisms that incorporate positive mechanisms may improve adoption of BMPs that are costly to producers, while extension mechanisms, such as information programs, may improve the adoption of economically feasible BMPs.
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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 | 0.001 |
| 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