The Effect of Multiple Component Pricing Sytem on Productivity and Technical Efficiency of Ontario Dairy Farms
Bibliographic record
Abstract
The purpose of this study is to examine the effect of milk compositional pricing policy reforms (i.e., component pricing change, solids-non-fat to butterfat ratio standard, and Class 6/7 milk class pricing policy) on the technical efficiency and milk and milk components productivity of Ontario dairy farms using the Ontario Dairy Farm Accounting Project (ODFAP) data. In this study, a stochastic input distance function is estimated to assess the technical inefficiency of the sample farms. Results indicate that the component pricing change had a positive effect on the technical inefficiency of dairy farms. A fixed-effect panel regression model estimated the effect of the change in policies towards dairy farm productivity (i.e., milk yield per cow, protein yield per cow, and butterfat yield per cow). Therefore, the results indicate that the SNF: BF ratio standard had a positive effect on milk yield, protein yield, and butterfat yield per cow. However, the Class 6/7 milk class pricing policy had negative effects on milk and butterfat productivity.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".